alpha_tools/simple72/dataset/datafields_cache_IND_TOP500_D1_model.csv

id,description,dataset,category,subcategory,region,delay,universe,type,dateCoverage,coverage,userCount,alphaCount,pyramidMultiplier,themes,dataset_id,dataset_name,category_id,category_name,subcategory_id,subcategory_name
mdl106_country,Country of listing,"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,124,297,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_dividend,Forecast dividend yield for the next 12 months (percent),"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,268,522,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_fmb,Measure of a stock’s downside sensitivity in bear markets; higher values imply greater susceptibility during market downturns,"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,80,138,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_fnb,Bad News Factor indicating the stock’s sensitivity to negative news and its tendency to underperform during adverse events,"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,66,102,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_global_evaluation,"Composite multi-criteria evaluation score combining fundamentals, technicals, and risk; range -2 (negative) to +2 (positive)","{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,103,171,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_mkt_cap,"Market capitalization in USD billions, calculated as share price times shares outstanding","{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,135,231,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_pr,"4-week performance relative to the national or regional index, in percent","{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,53,83,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_price,Latest daily stock price in the security’s trading currency,"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,92,133,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_risk,risk levels by historic price,"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,81,158,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_rv,Valuation rating from -2 to +2 indicating whether the stock appears overvalued or undervalued relative to growth potential,"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,55,93,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_stars,"Overall star rating summarizing the four pillars, on a 0–4 scale","{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,105,204,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_tre,"Earnings Revision (Revenue) Trend score in the range [-1, 1], with positive values indicating upward revisions","{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,67,94,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_tt,"Medium-term technical trend indicator: +1 positive, -1 negative; includes a tech reverse price threshold where the trend would reverse","{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,57,95,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl106_ycc,ISO 4217 currency code of the security (currency used for price and related fields),"{'id': 'model106', 'name': 'Analysts rating model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.4953,42,53,1.3,[],model106,Analysts rating model,model,Model,model-estimates-models,Estimates Models
mdl110_alternative,"Composite alpha signal generated from non-traditional sources such as alternative data, big data, and unstructured information","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,445,2269,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl110_analyst_sentiment,"Aggregate sentiment score derived from analyst ratings, estimate revisions, and market sentiment factors","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,1284,10323,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl110_growth,"Composite growth factor derived from forward-looking estimates and backward-looking financials, representing robust sales and earnings growth","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,498,3137,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl110_price_momentum_reversal,"A score indicating the influence of recent price momentum and mean-reversion effects on the stock price, capturing both trends and potential reversals in price over short to medium time periods","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,708,4314,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl110_quality,"Composite score measuring company profitability, accounting robustness, earnings quality, and risk-related financial metrics","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,459,1811,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl110_score,"The overall alpha signal produced by a weighted combination of all underlying factor scores (sentiment, quality, value, growth, price momentum/reversion, alternative, tree)","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,1943,25749,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl110_tree,"A composite score generated from nonlinear tree-based machine learning models, synthesizing all available individual signals and factors to capture complex interactions and enhance alpha prediction beyond linear approaches","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,470,1990,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl110_value,"Composite valuation factor blending multiple price-based and fundamental metrics such as P/E, P/B, and price-to-sales","{'id': 'model110', 'name': 'Big data and machine learning based model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7885,866,4859,1.3,[],model110,Big data and machine learning based model,model,Model,model-mlai-models,ML/AI Models
mdl140_qes_sinc_comp,Composite factor combining both pure inflation sensitivity and interest rate sensitivity into a holistic metric of a stock's macro inflation exposure; preferred for portfolio risk modeling and thematic tilts,"{'id': 'model140', 'name': 'Sensitivity to the Inflation Change'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7367,68,94,1.3,[],model140,Sensitivity to the Inflation Change,model,Model,model-mlai-models,ML/AI Models
mdl140_qes_sinc_neut,"Stock-level sensitivity to expected inflation changes, ""neutralized"" or adjusted to remove the contemporaneous effect of benchmark interest rate changes; captures pure inflation beta orthogonal to interest rates","{'id': 'model140', 'name': 'Sensitivity to the Inflation Change'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7695,97,178,1.3,[],model140,Sensitivity to the Inflation Change,model,Model,model-mlai-models,ML/AI Models
mdl140_qes_sinc_sensitivity,"Stock-level estimated “beta” sensitivity to expected inflation, specifically to changes in the 10-year breakeven inflation rate, derived from elastic net regression","{'id': 'model140', 'name': 'Sensitivity to the Inflation Change'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,0.9507,0.7328,40,80,1.3,[],model140,Sensitivity to the Inflation Change,model,Model,model-mlai-models,ML/AI Models
mdl141_mktcap,"The market capitalization of the company, typically float-adjusted; represents total equity market value","{'id': 'model141', 'name': 'Interest Rate Sensitivity Measures'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.1961,25,38,1.3,[],model141,Interest Rate Sensitivity Measures,model,Model,model-risk-based-models,Risk Based Models
mdl141_qes_macrobeta3_wti_tr,"Beta of stock returns to oil price returns (specifically, West Texas Intermediate crude), representing sensitivity to oil as a macro factor","{'id': 'model141', 'name': 'Interest Rate Sensitivity Measures'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.1947,6,6,1.3,[],model141,Interest Rate Sensitivity Measures,model,Model,model-risk-based-models,Risk Based Models
mdl192_altmanz_di,"Altman Z-score, a measure of company credit risk or bankruptcy risk","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,38,66,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_benchmark_fee_di,Imputed or backfilled value of Benchmark_fee used when the raw benchmark fee is missing to enhance continuity,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,18,55,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_booklev_di,Book leverage ratio (likely debt to equity or related measure using book values),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,19,106,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cashburnrate_di,Imputed/backfilled version of CashBurnRate to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,12,22,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cashc_di,Imputed/backfilled version of CashC to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,18,46,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cashratio_di,Imputed or backfilled ratio of cash & equivalents to current liabilities; measure of short-term liquidity,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,12,19,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_1mvol_di,1-month CDS Spread Change Volatility (Tenor=5Y),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,20,47,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_1ybeta_di,Imputed or backfilled value of CDS_1YBeta used when the raw beta is missing to enhance continuity,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,15,36,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_beta_di,5-year (60 month) beta of CDS spread changes (measure of CDS spread sensitivity to market),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,15,53,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_canbeta_di,Sovereign Sensitivity - Canada,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,11,30,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_eurusd_di,Sensitivity of CDS spread to EUR/USD exchange rate movements,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,11,38,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_frabeta_di,"Sensitivity of an entity's CDS spread changes to France sovereign CDS, representing how much the entity's CDS responds to movements in France's sovereign credit risk, with values typically indicating degree of co-movement","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,9,30,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_gerbeta_di,"Sensitivity of an entity's CDS spread changes to German sovereign CDS, representing correlation to changes in Germany's sovereign credit risk","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,8,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_gnd_di,Imputed or backfilled gross notional CDS volume as reported by DTCC relative to total debt,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,19,83,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_gnvol5wavg_di,"Five-week moving average of weekly gross notional CDS transaction volumes from DTCC, measuring recent liquidity/activity trends","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,15,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_gnvol5wchg_di,5-week Change in DTCC Weekly Gross Notional Volumes,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_itabeta_di,Sensitivity of CDS spread changes to Italian sovereign movements,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,14,15,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_japbeta_di,Sovereign Sensitivity - Japan,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,11,12,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_op_di,Imputed or backfilled sensitivity of CDS spread to oil price movements,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,13,20,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_pd1y_di,"Estimated probability of default over a one-year horizon, typically derived from the entity’s CDS data (Tenor=1Y)","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,11,16,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_pd5y_di,Probability of default over a 5-year horizon implied by CDS spread,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_porbeta_di,"Imputed/backfilled version of CDS_PorBeta, the ranked sensitivity of daily CDS spread changes to Portugal sovereign CDS changes, used when raw data are missing","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,8,16,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_ps_rank1m_di,1-month Momentum Divergence,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,8,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_ps_rank5d_di,"Imputed/backfilled version of CDS_PS_Rank5D, the same 5-day momentum divergence measure used when raw data are missing","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_ps_reg3_di,"Imputed/backfilled version of CDS_PS_Reg3, representing the same model-based value divergence when raw data are missing","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_spabeta_di,"Imputed/backfilled version of CDS_SpaBeta, the ranked sensitivity of daily CDS spread changes to Spain sovereign CDS changes, used when raw data are missing","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,6,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_tier_di,"CDS seniority tier (e.g., senior/subordinated), imputed for missing data","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,10,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_ukbeta_di,Sensitivity of CDS spread changes to UK sovereign movements,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cds_usbeta_di,Sensitivity of CDS spread changes to US sovereign movements,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_cfleverage_di,Imputed/backfilled version of CFLeverage to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_chg12mtotdebt_di,Change in total debt over the past 12 months,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,12,14,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_chg3ycfast_di,Imputed/backfilled version of Chg3YCFAst to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_chgshare_di,"Percent change in the number of shares outstanding compared to a specified previous period, typically one year ago","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_curratio_di,Current ratio; company liquidity measured as current assets divided by current liabilities,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,9,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_days_to_cover_di,Number of days of typical volume needed for short sellers to cover positions (imputed),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,6,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_div5yg_di,5-Year Dividend Growth Rate,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_dmd_supply_di,"Imputed or backfilled demand supply ratio, i.e., borrowed stock relative to lendable inventory","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,11,16,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_earnshortfall_di,Earnings Shortfall,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ebitdadebt_di,EBITDA-to-debt ratio (imputed/backfill value),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ebitdadebtchg_di,Year-over-Year Change in EBITDA-to-Debt,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,6,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ebitdaev_di,Trailing-twelve-month EBITDA divided by enterprise value (imputed/backfill value),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_fc_fqsurstd_di,"Most recent quarterly earnings surprise (difference between actual and estimated EPS), normalized by the standard deviation of analyst forecasts; measures the magnitude of surprise relative to consensus dispersion","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_fc_numrevy1_di,Net number of analyst forecast revisions for fiscal year 1,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_gear_di,"Imputed/backfilled version of GEAR, used when raw data are missing","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_2adpmoc_sdc,Relative Value - Comprehensive Debt to Total Assets,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_2vd_adpmoc_sdc,Comprehensive debt-to-assets ratio; total company debt as percentage of total assets for deep value analysis,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,6,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_2vd_voctni_sdc,Deep Value - Interest Coverage,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_2voctni_sdc,Relative value metric based on interest coverage ratio (imputed/backfill value),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_ad,Total Debt to Total Assets ratio (leverage measure),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_adpmoc,Imputed/backfilled version of CompDA to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_aoer,Retained earnings divided by total assets,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_aor,Return on Assets: net income or similar measure divided by total assets,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_dcc,Current Cash Flow Debt Coverage Ratio,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_dtsm1_rd,Standard deviation of realized stock returns over the past 1 month (realized volatility),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_dtsm1_rd_sdc,"Imputed or backfilled 1-month realized volatility of stock returns, relative value signal","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,6,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_ed,"Long-term debt divided by equity (Debt-to-Equity, imputed/backfill value)","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_fcghc,"1-year change in assets-adjusted trailing twelve month cash flow, imputed","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_gtl,Estimate of long-term growth rate for the company,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_htrgm1ng_sdc,"One-month growth rate in DTCC (central clearinghouse) gross notional CDS volumes, reflecting liquidity/trading activity increase or decrease","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_htrgy1ng_sdc,"Year-on-year growth in DTCC gross notional CDS volumes, imputed","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_idb,Imputed or backfilled value of BDI used when the raw BDI is missing to enhance continuity,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_irl_sdc,"Imputed/backfilled version of CDS_LRI, representing the same leading risk measure when raw data are missing","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_md,Imputed/backfilled version of DM to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_md_sdc,Imputed/backfilled value of CDS_DM used when raw data are missing to maintain series continuity,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_mrspe_cf,"Magnitude of analyst EPS estimate revisions over a recent period, possibly imputed","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,8,9,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_ox_sdc,Imputed/backfilled version of CDS_XO to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_pu,Unexpected Profitability,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_rp,Imputed/backfilled Profitability Ratio used when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_rq,Quick Ratio (Acid Test Ratio): measure of a company's short-term liquidity calculated as (Current Assets - Inventories) / Current Liabilities,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_spe1yfvc_cf,Dispersion of analysts' FY1 EPS estimates (coefficient of variation),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_spefcn,Imputed/backfilled version of NCFEPS used when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_tni_ths,Short interest (likely number or percentage of shares shorted for the security),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,8,9,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_tqe_sdc,Equity price sensitivity (how the CDS spread responds to equity price movements),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_voctni,Interest coverage ratio (likely EBIT or similar over interest expense),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_xiv_sdc,"Sensitivity of the entity’s CDS spread to changes in overall market volatility (typically measured by VIX), reflecting how much credit risk correlates to equity market volatility","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,6,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_y1dpghcd1_sdc,"Change in probability of default (implied from 1-year CDS) over a single day, measuring daily credit risk movement for the immediate horizon","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_y1dpghcd5_sdc,Imputed or delta value for 5-day change in the probability of default implied by the 1-year CDS spread,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_y1dpghcm1_sdc,1-month change in probability of default for the 1-year tenor,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_y5dpghcd1_sdc,1-day change in probability of default using CDS spread at 5-year tenor,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_y5dpghcd5_sdc,"5-day change in probability of default as implied by 5-year CDS, showing short-term movement in perceived credit risk for a 5-year horizon","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,11,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_id_y5dpghcm1_sdc,1-month Change in Probability of Default (Tenor=5Y),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_indrelcroe_di,Industry-adjusted quarterly return on equity,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_indrelrtn4w_di,4-week Industry Relative Return,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_indrelrtn5d_di,"5-day relative stock return compared to industry peers, imputed for missing observations","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_netdebt_di,Net debt ratio (net debt divided by a relevant base like equity or total assets),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_nopatmargin_di,Net Operating Profit After Tax Margin; margin calculated as NOPAT divided by revenue,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ocfratio_di,"Operating cash flow to total debt ratio (ability to cover debt with operating cash flow, imputed/backfill value)","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ohlsonscore_di,Ohlson Bankruptcy Score; statistical measure of bankruptcy risk based on Ohlson's financial ratios,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,9,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ollev_di,Imputed/backfilled Operating Liability Leverage used when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_opincltd_di,Change in trailing twelve months operating income compared to long-term debt,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_oplev_di,"Operating Leverage, likely percent change in operating income divided by percent change in sales","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ratrev6m_di,Imputed/backfilled version of RatRev6M to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,7,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_reinrate_di,Imputed/backfilled version of ReInRate to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_rev3my2std_di,Relative dispersion (standard deviation) of 3-month revisions in next-fiscal-year-2 EPS forecasts,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,6,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_roic_di,Return on Invested Capital (profitability relative to invested capital),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,8,11,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_stockrating_di,Consensus stock rating from market participants or analysts,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,4,4,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_ticker_di,Ticker,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,12,14,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_totalcov_di,Imputed/backfilled version of TotalCov to maintain continuity when raw data are missing,"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,3,3,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_visiratio_di,"Liquidity volume ratio, calculated as trading volume divided by average volume over the last 50 days (imputed/backfill value)","{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,7,8,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_yoychgcr_di,Year-over-year change in current ratio (liquidity metric),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,5,5,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
mdl192_yoychgda_di,Year-over-year change in total debt to total assets ratio (imputed/backfill value),"{'id': 'model192', 'name': 'CDS Factor Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,12,16,1.3,[],model192,CDS Factor Data,model,Model,model-risk-based-models,Risk Based Models
country_relative_investment_rank,Normalized (0–100) float value for the stock’s Smart Holdings score within its country,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,86,139,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
country_relative_investment_rank_d1,Normalized (0-100) score of the stock's likelihood of institutional ownership within its country,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,56,82,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_change_in_preference_rank,"Normalized (float, 0–100) global rank of the Change Component, representing recent changes (momentum) in ownership signals for the stock globally","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,154,746,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_change_in_preference_rank_d1,Normalized (0-100) score of the recent change momentum for the stock globally,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,94,414,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_institutional_preference_rank,Normalized (0–100) float percentile rank of the stock’s Smart Holdings score globally. Higher value = higher likelihood of institutional ownership worldwide,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,111,646,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_institutional_preference_rank_d1,Normalized (0-100) score of the stock's likelihood of institutional ownership at global level,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,68,104,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_peer_investment_concentration_rank,"Normalized (0–100) float value measuring global peer crowding/risk, where higher values indicate higher global institutional ownership. This is a reversal score: high = high crowding risk","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,29,48,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_peer_investment_concentration_rank_d1,Normalized (0-100) peer ownership score for the stock at the global level,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,25,80,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_screening_factor_alignment_rank,"Normalized (0–100) float value indicating the stock's style-fit or screening component, globally, adjusted for peer characteristics. Higher values suggest stronger global style fit","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,37,51,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
global_screening_factor_alignment_rank_d1,"Normalized (0-100) score of the stock’s style-fit (screening component) globally, adjusted for peer ownership","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,33,41,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
industry_relative_investment_rank,Normalized (0–100) float value representing the stock’s Smart Holdings score within its industry,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,52,80,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
industry_relative_investment_rank_d1,Normalized (0-100) score of the stock's likelihood of institutional ownership within its industry,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,57,82,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_country_rank,Country rank (1–100) of Smart Holdings score. Higher rank = higher likelihood of institutional ownership within that country,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,196,827,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_country_rank_d1,Rank (1–100) representing the likelihood of institutional ownership for the stock within its country according to the Smart Holdings model,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,82,234,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_change_rank,"Global rank (1–100) for the momentum or recent change component, representing the degree of recent increase in institutional ownership likelihood compared to global peers","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,106,235,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_change_rank_d1,"Rank (1–100) measuring recent changes or momentum in institutional ownership for the stock, globally","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,86,186,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_owner_rank,"Global rank (1–100) of peer crowding/capacity risk. 100 = highest global institutional ownership (most crowded), 1 = lowest. Indicates liquidity/capacity risk from peer positions","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,39,62,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_owner_rank_d1,"Peer ownership score of the stock globally, ranked 1-100 where 100 indicates highest peer ownership and liquidity risk","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,38,67,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_rank,Global rank (1–100) of Smart Holdings model score. Higher ranks imply greater probability of global institutional ownership,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,147,440,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_rank_d1,Rank (1–100) representing the likelihood of institutional ownership for the stock across the global universe according to the Smart Holdings model,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,59,92,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_screening_rank,"Global rank (1–100) of the stock’s style-fit or screening component, adjusted for peer characteristics. Higher values represent better alignment with factors favored by institutional investors worldwide","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,90,283,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_global_screening_rank_d1,"Peers-adjusted screening (style fit) score for a stock, ranked 1-100 at the global level, indicating how well its characteristics match those favored by institutional investors globally","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,77,276,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_industry_rank,Industry rank (1–100) of Smart Holdings score. Higher rank means higher probability of institutional ownership within that industry,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,89,183,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_industry_rank_d1,Rank (1–100) representing the likelihood of institutional ownership for the stock within its industry according to the Smart Holdings model,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,60,97,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_change_rank,Regional rank (1–100) indicating the strength of recent change or momentum in institutional ownership within the region,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,48,72,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_change_rank_d1,"Rank (1-100) of recent changes or momentum in ownership signals for the stock within its region, reflecting directional flow of institutional interest","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,55,91,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_owner_rank,"Regional rank (1–100) of peer crowding. 100 = highest regional institutional ownership (most crowded), 1 = lowest. Highlights local capacity risk","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,27,31,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_owner_rank_d1,"Peer ownership score of the stock within its region, ranked 1-100 where 100 indicates highest peer ownership and liquidity risk","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,18,22,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_rank,Regional rank (1–100) of Smart Holdings score. Higher rank = higher likelihood of institutional ownership within the region,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,57,91,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_rank_d1,Rank (1–100) representing the likelihood of institutional ownership for the stock within its region according to the Smart Holdings model,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,36,50,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_screening_rank,"Regional rank (1–100) of the stock’s style-fit or screening component, peer-adjusted. Higher rank suggests stronger regional style fit","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,62,131,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_region_screening_rank_d1,"Peers-adjusted screening (style fit) score for a stock, ranked 1-100 within its region, indicating how well its characteristics match those favored by institutional investors in that region","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,120,1665,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_sector_rank,Sector rank (1–100) of Smart Holdings score. Higher values represent higher expected institutional ownership in that sector,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,58,148,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
mdl238_sector_rank_d1,Rank (1–100) representing the likelihood of institutional ownership for the stock within its sector according to the Smart Holdings model,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,55,92,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_change_in_preference_rank,"Normalized (float, 0–100) regional rank of the Change Component, representing momentum in institutional ownership signals at the region level","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,33,41,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_change_in_preference_rank_d1,Normalized (0-100) score of the recent change momentum for the stock in its region,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9824,43,50,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_institutional_preference_rank,Normalized (0–100) float value for the stock’s Smart Holdings score within its region,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,34,41,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_institutional_preference_rank_d1,Normalized (0-100) score of the stock's likelihood of institutional ownership within its region,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,25,29,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_peer_investment_concentration_rank,Normalized (0–100) float value measuring regional peer crowding. High values mean higher institutional ownership regionally (reversed: high = high crowding risk),"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,12,19,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_peer_investment_concentration_rank_d1,Normalized (0-100) peer ownership score for the stock in its region,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9826,17,20,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_screening_factor_alignment_rank,"Normalized (0–100) float value indicating the stock's style-fit or screening component within the region, adjusted for peer characteristics","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,21,36,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
regional_screening_factor_alignment_rank_d1,"Normalized (0-100) score of the stock’s style-fit (screening component) in its region, adjusted for peer ownership","{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,48,350,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
sector_relative_investment_rank,Normalized (0–100) float value reflecting the stock’s Smart Holdings score within its sector,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,117,526,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
sector_relative_investment_rank_d1,Normalized (0-100) score of the stock's likelihood of institutional ownership within its sector,"{'id': 'model238', 'name': 'SmartHoldings Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,62,115,1.3,[],model238,SmartHoldings Model,model,Model,model-estimates-models,Estimates Models
defensiveness_composite_score,SHIELD model output score representing the defensive (risk/quality) rating for the security (normalized 0–1),"{'id': 'model252', 'name': 'Systematic Hedging for Investors to Evade Large Drawdowns'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,1.0,0.7851,95,320,1.3,[],model252,Systematic Hedging for Investors to Evade Large Drawdowns,model,Model,model-mlai-models,ML/AI Models
total_equity_market_value_2,"Market capitalization of the security on the score's effective date, usually calculated from closing price and shares outstanding","{'id': 'model252', 'name': 'Systematic Hedging for Investors to Evade Large Drawdowns'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-mlai-models', 'name': 'ML/AI Models'}",IND,1,TOP500,MATRIX,1.0,0.7851,81,371,1.3,[],model252,Systematic Hedging for Investors to Evade Large Drawdowns,model,Model,model-mlai-models,ML/AI Models
actual_vs_predicted_earnings_surprise_pct_lastq,"Percentage surprise for the last quarter’s earnings, calculated as actual reported minus consensus estimate, expressed as a percent of the consensus","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5726,179,294,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
actual_vs_predicted_ebitda_surprise_pct_lastq,"Percentage surprise for the last quarter’s EBITDA, calculated as actual reported minus consensus estimate, expressed as a percent of the consensus","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5734,123,171,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_count_prior_seven_days_quarterly,Number of analysts contributing to the mean FQ1 earnings estimate 7 days prior,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5608,65,97,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_count_revised_down_thirty_days_quarterly,Count of analysts who lowered FQ1 earnings estimates in the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8406,55,107,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_count_revised_up_thirty_days_quarterly,Count of analysts who raised FQ1 earnings estimates in the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8406,51,76,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_recommendation_component,The portion of the score based on changes in analyst recommendations.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,240,581,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_recommendation_score_component,Score component reflecting changes in analyst buy/sell/hold recommendations.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8578,105,222,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_recommendation_upgrades_count_30d,Number of analyst recommendation upgrades over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,57,88,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_revision_primary_earnings_score,Score component reflecting analyst revisions and surprises in the primary earnings measure.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,204,441,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_revision_revenue_score,ARM revenue component percentile score reflecting revenue-related estimate revisions,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8625,92,165,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_revision_revenue_score_d1,Score component reflecting analyst revisions and surprises in company revenue (daily version).,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8625,63,90,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analyst_revision_secondary_earnings_score,Score component reflecting analyst revisions and surprises in the secondary earnings measure.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7811,94,181,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analysts_count_revising_down_quarter1_earnings_7d,Number of analysts revising down earnings estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,22,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analysts_count_revising_down_year1_earnings_14d,Count of analysts who lowered their earnings estimates for the current fiscal year (FY1) in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,20,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analysts_count_revising_down_year1_ebitda_14d,Count of analysts who lowered their EBITDA estimates for the current fiscal year (FY1) in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,32,56,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analysts_count_revising_up_quarter2_earnings_30d,Number of analysts who raised their FQ2 earnings estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,23,31,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
analysts_count_revising_up_year2_ebitda_14d,Count of analysts who raised their FY2 EBITDA estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,72,148,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
auxiliary_earnings_component,The portion of the score derived from changes in a secondary earnings metric.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,178,488,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
average_estimate_change_thirty_days_quarterly,Percent change in the consensus mean FQ1 earnings estimate over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4771,23,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_change_analyst_recommendation_14d,Change in the mean analyst recommendation over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8707,41,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_change_analyst_recommendation_30d,Change in the mean analyst recommendation over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8687,51,70,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_change_analyst_recommendation_60d,Change in the mean analyst recommendation over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8637,20,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_change_analyst_recommendation_7d,Change in the mean analyst recommendation over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8714,36,47,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_change_analyst_recommendation_90d,Change in the mean analyst recommendation over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8582,41,69,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_estimate_change_pct_f12m_ebitda_7d,Mean percentage change in analyst EBITDA estimates for the next 12 months over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7764,44,61,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_estimate_change_pct_quarter1_ebitda_14d,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5732,18,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_estimate_change_pct_quarter1_revenue_60d,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4678,28,38,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_estimate_change_pct_quarter2_ebitda_60d,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2534,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_estimate_change_pct_year1_earnings_90d,Mean percentage change in earnings estimates for Fiscal Year 1 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8514,66,140,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_estimate_change_pct_year1_revenue_90d,Mean percentage change in FY1 revenue estimates over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8501,30,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_earnings_est_12m_30d,Mean percentage change in next-12-months earnings estimates over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8585,43,51,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_earnings_est_12m_90d,Mean percentage change in analyst earnings estimates for the next 12 months over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8454,55,117,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_earnings_est_qtr_14d,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5693,21,24,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_earnings_est_qtr_30d,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4934,11,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_earnings_est_qtr_60d,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4094,16,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_earnings_est_year_14d,Mean percentage change in earnings estimates for Fiscal Year 1 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8642,95,133,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_ebitda_est_12m_14d,Mean percentage change in next 12 months (F12M) EBITDA estimates over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7753,34,49,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_ebitda_est_12m_90d,Mean percentage change in next 12 months EBITDA estimates over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7571,49,79,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_earnings_14d,Mean percentage change in next 12 months (F12M) earnings consensus estimates over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8608,86,164,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_earnings_60d,Mean percentage change in analyst earnings estimates for the next 12 months over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8526,30,63,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_earnings_7d,Mean percentage change in next 12 months earnings estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8615,54,101,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_ebitda_30d,Mean percentage change in forward 12-month EBITDA estimates over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7722,16,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_ebitda_60d,Mean percentage change in next 12 months (F12M) EBITDA estimates over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7653,19,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_revenue_30d,Mean percentage change in revenue estimates for the next 12 months over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8574,31,58,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_revenue_7d,Mean percentage change in forward 12-month revenue estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8604,20,23,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_12m_revenue_90d,Mean percentage change in revenue estimates for the next 12 months over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8441,32,40,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_curr_qtr_ebitda_7d,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5912,15,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_curr_qtr_ebitda_90d,Mean percentage change in FQ1 EBITDA estimates over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3109,12,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_curr_qtr_revenue_30d,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5923,12,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_forward_revenue_14d,Mean percentage change in next 12 months revenue estimates over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8597,16,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_forward_revenue_60d,Mean percentage change in revenue estimates for the next 12 months over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8514,22,31,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_quarter_earnings_14d,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3686,12,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_quarter_ebitda_14d,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2934,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_quarter_ebitda_30d,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2806,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_quarter_ebitda_7d,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.299,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_quarter_revenue_14d,Mean percentage change in revenue estimates for Fiscal Quarter 2 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4041,11,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_quarter_revenue_60d,Mean percentage change in FQ2 revenue estimates over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3587,10,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_year_earnings_30d,Mean percentage change in earnings estimates for Fiscal Year 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8622,20,25,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_year_earnings_60d,Mean percentage change in FY1 earnings estimates over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8572,30,39,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_year_earnings_7d,Mean percentage change in FY1 earnings estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8648,37,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_year_ebitda_14d,Mean percentage change in FY1 EBITDA consensus estimates over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7812,13,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_next_year_revenue_14d,Mean percentage change in FY1 revenue estimates over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8631,16,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_qtr2_earnings_30d,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3599,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_qtr2_earnings_60d,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3434,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_qtr2_earnings_7d,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3718,7,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_qtr2_earnings_90d,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3278,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_qtr2_revenue_30d,Mean percentage change in Fiscal Quarter 2 revenue estimates over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3891,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_qtr2_revenue_7d,Mean percentage change in FQ2 revenue estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4102,13,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_qtr2_revenue_90d,Mean percentage change in FQ2 revenue estimates over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3293,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_quarter_earnings_7d,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5821,17,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_quarter_earnings_90d,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3756,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_quarter_ebitda_30d,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4726,6,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_quarter_ebitda_60d,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3484,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_quarter_revenue_14d,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6862,11,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_quarter_revenue_7d,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7006,23,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_year_ebitda_30d,Mean percentage change in FY1 EBITDA consensus estimates over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7785,15,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_year_ebitda_60d,Mean percentage change in the consensus EBITDA estimate for Fiscal Year 1 (next fiscal year) over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7725,15,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_year_ebitda_7d,Mean percentage change in Fiscal Year 1 EBITDA estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7821,23,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_year_ebitda_90d,Mean percentage change in Fiscal Year 1 EBITDA estimates over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.766,22,31,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_estimate_year_revenue_30d,Mean percentage change in FY1 revenue estimates over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8611,26,34,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_revenue_est_qtr_90d,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4218,16,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_revenue_est_year_60d,Mean percentage change in FY1 revenue consensus estimates over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8558,13,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
avg_pct_change_revenue_est_year_7d,Average percentage change in Fiscal Year 1 revenue estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8637,13,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_next_quarter_ebitda_30d,Count of analysts who lowered their EBITDA estimates for fiscal quarter 2 (FQ2) in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,18,25,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_quarter_earnings_14d,Number of analysts lowering FQ1 earnings estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,13,20,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_quarter_ebitda_14d,Count of analysts who lowered their FQ1 EBITDA estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_quarter_ebitda_7d,Count of analysts who lowered Fiscal Quarter 1 EBITDA estimates over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_quarter_revenue_30d,Count of analysts who lowered their revenue estimates for the next fiscal quarter (FQ1) in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,14,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_quarter_revenue_7d,Count of analysts who lowered their revenue estimates for the next fiscal quarter (FQ1) in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,14,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_year_ebitda_30d,Count of analysts who lowered their EBITDA estimates for the current fiscal year (FY1) in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,18,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_year_ebitda_7d,Count of analysts who lowered their EBITDA estimates for the current fiscal year (FY1) in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,15,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_downward_revision_year_revenue_30d,Count of analysts who lowered their revenue estimates for the current fiscal year (FY1) in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,15,25,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_downgrades_14d,Number of analyst recommendation downgrades over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,28,34,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_downgrades_30d,Number of analyst recommendation downgrades over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,20,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_downgrades_60d,Number of analyst recommendation downgrades over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,16,25,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_downgrades_7d,Number of analyst recommendation downgrades over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,12,20,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_downgrades_90d,Number of analyst recommendation downgrades over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,30,44,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_upgrades_14d,Number of analyst recommendation upgrades over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,16,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_upgrades_60d,Number of analyst recommendation upgrades over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,14,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_upgrades_7d,Number of analyst recommendation upgrades over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,17,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_recommendation_upgrades_90d,Number of analyst recommendation upgrades over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,15,20,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_next_quarter_ebitda_14d,Number of analysts who revised up FQ2 EBITDA estimates in the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_next_quarter_revenue_30d,Number of analysts who raised FQ2 revenue estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_next_quarter_revenue_7d,Number of analysts raising FQ2 revenue estimates in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_next_year_earnings_14d,Count of analysts who raised Fiscal Year 2 earnings estimates over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,37,49,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_next_year_ebitda_30d,Number of analysts revising up EBITDA estimates for Fiscal Year 2 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,25,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_next_year_revenue_7d,Number of analysts who revised up Fiscal Year 2 revenue estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,12,20,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_quarter_earnings_30d,Number of analysts who raised Fiscal Quarter 1 earnings estimates in the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_quarter_revenue_14d,Number of analysts who raised their FQ1 revenue estimates over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_quarter_revenue_7d,Count of analysts who raised Fiscal Quarter 1 revenue estimates over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_year_earnings_14d,Count of analysts who raised their Fiscal Year 1 earnings estimates over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,18,25,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_year_earnings_7d,Number of analysts who raised their FY1 earnings estimates in the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,10,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_year_ebitda_14d,Number of analysts raising FY1 EBITDA estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,16,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_year_revenue_14d,Count of analysts who raised their FY1 revenue estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,12,20,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analyst_upward_revision_year_revenue_7d,Number of analysts who revised up Fiscal Year 1 revenue estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,10,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_curr_qtr_earnings_30d,Number of analysts revising down earnings estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_curr_qtr_ebitda_30d,Number of analysts revising down EBITDA estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_curr_qtr_revenue_14d,Count of analysts who lowered their revenue estimates for the next fiscal quarter (FQ1) in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_earnings_est_next_qtr_14d_d1,Number of sell-side analysts who lowered their earnings estimate for Fiscal Quarter 2 in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_earnings_est_next_qtr_30d,Count of analysts who lowered their earnings estimates for fiscal quarter 2 (FQ2) in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,8,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_earnings_est_next_qtr_7d,Count of analysts who lowered their earnings estimates for fiscal quarter 2 (FQ2) in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_earnings_est_next_qtr_7d_d1,Number of sell-side analysts who lowered their earnings estimate for Fiscal Quarter 2 in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_earnings_est_year_7d,Count of analysts who lowered their earnings estimates for the current fiscal year (FY1) in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,11,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_ebitda_est_next_qtr_14d,Count of analysts who lowered their EBITDA estimates for fiscal quarter 2 (FQ2) in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_ebitda_est_next_qtr_14d_d1,Number of sell-side analysts who lowered their EBITDA estimate for Fiscal Quarter 2 in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_ebitda_est_next_qtr_30d_d1,Number of sell-side analysts who lowered their EBITDA estimate for Fiscal Quarter 2 in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_ebitda_est_next_qtr_7d_d1,Number of sell-side analysts who lowered their EBITDA estimate for Fiscal Quarter 2 in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_ebitda_est_qtr_14d_d1,Number of analysts revising down EBITDA estimates for Fiscal Quarter 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_ebitda_est_qtr_30d_d1,Number of analysts revising down EBITDA estimates for Fiscal Quarter 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,10,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_ebitda_est_qtr_7d_d1,Number of analysts revising down EBITDA estimates for Fiscal Quarter 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_next_year_earnings_30d,Count of analysts who lowered their earnings estimates for the current fiscal year (FY1) in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_next_year_revenue_14d,Count of analysts who lowered their revenue estimates for the current fiscal year (FY1) in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_qtr2_earnings_14d,Count of analysts who lowered their earnings estimates for fiscal quarter 2 (FQ2) in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_qtr2_ebitda_7d,Count of analysts who lowered their EBITDA estimates for fiscal quarter 2 (FQ2) in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_qtr2_revenue_30d,Count of analysts who lowered their revenue estimates for fiscal quarter 2 (FQ2) in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,8,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_qtr2_revenue_7d,Count of analysts who lowered their revenue estimates for fiscal quarter 2 (FQ2) in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_revenue_est_next_qtr_14d,Count of analysts who lowered their revenue estimates for fiscal quarter 2 (FQ2) in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_revenue_est_next_qtr_7d_d1,Number of sell-side analysts who lowered their revenue estimate for Fiscal Quarter 2 in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_lower_revenue_est_year_7d,Count of analysts who lowered their revenue estimates for the current fiscal year (FY1) in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_curr_qtr_earnings_14d,Count of analysts who raised their Fiscal Quarter 1 earnings estimates over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_curr_qtr_ebitda_14d,Count of analysts who raised Fiscal Quarter 1 EBITDA estimates over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,1,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_curr_qtr_ebitda_30d,Number of analysts who raised their FQ1 EBITDA estimates in the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_earnings_est_next_qtr_14d,Number of analysts who raised their Fiscal Quarter 2 earnings estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_earnings_est_next_qtr_30d_d1,Number of analysts who raised their Fiscal Quarter 2 earnings estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_earnings_est_next_qtr_7d_d1,Number of analysts who raised their Fiscal Quarter 2 earnings estimates in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_earnings_est_qtr_14d_d1,Number of analysts who raised their Fiscal Quarter 1 earnings estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,1,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_earnings_est_qtr_7d,Number of analysts revising up earnings estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_earnings_est_qtr_7d_d1,Number of analysts who raised their Fiscal Quarter 1 earnings estimates in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_7d,Count of analysts who raised Fiscal Quarter 1 EBITDA estimates over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_next_qtr_14d_d1,Number of analysts revising up EBITDA estimates for Fiscal Quarter 2 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_next_qtr_30d,Number of analysts who raised Fiscal Quarter 2 EBITDA estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,1,1,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_next_qtr_30d_d1,Number of analysts revising up EBITDA estimates for Fiscal Quarter 2 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_next_qtr_7d,Count of analysts who raised Fiscal Quarter 2 EBITDA estimates over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_next_qtr_7d_d1,Number of analysts revising up EBITDA estimates for Fiscal Quarter 2 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_qtr_14d_d1,Number of analysts who raised their Fiscal Quarter 1 EBITDA estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,7,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_qtr_30d_d1,Number of analysts who raised their Fiscal Quarter 1 EBITDA estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_ebitda_est_qtr_7d_d1,Number of analysts who raised their Fiscal Quarter 1 EBITDA estimates in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_next_year_earnings_30d,Count of analysts who raised their earnings estimates for Fiscal Year 1 (FY1) in the past 30 calendar days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_next_year_ebitda_30d,Count of analysts who raised Fiscal Year 1 EBITDA estimates over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,19,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_next_year_ebitda_7d,Number of analysts who revised up FY1 EBITDA estimates in the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,11,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_next_year_revenue_30d,Number of analysts who raised their FY1 revenue estimates over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_qtr2_earnings_14d,Number of analysts who revised up Fiscal Quarter 2 earnings estimates over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_qtr2_earnings_7d,Number of analysts revising up earnings estimates for Fiscal Quarter 2 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_revenue_est_next_qtr_14d,Number of analysts who revised up FQ2 revenue estimates in the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_revenue_est_next_qtr_14d_d1,Number of analysts revising up revenue estimates for Fiscal Quarter 2 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_revenue_est_next_qtr_30d_d1,Number of analysts revising up revenue estimates for Fiscal Quarter 2 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_revenue_est_next_qtr_7d_d1,Number of analysts revising up revenue estimates for Fiscal Quarter 2 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_revenue_est_qtr_30d,Number of analysts who raised Fiscal Quarter 1 revenue estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,2,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_year2_earnings_30d,Count of analysts who raised their earnings estimates for Fiscal Year 2 (FY2) in the past 30 calendar days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,14,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_year2_earnings_7d,Number of analysts revising up earnings estimates for Fiscal Year 2 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,7,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_year2_ebitda_7d,Number of analysts who raised their FY2 EBITDA estimates over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,18,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_year2_revenue_14d,Number of analysts who raised FY2 revenue estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
count_analysts_raise_year2_revenue_30d,Number of analysts who revised up Fiscal Year 2 revenue estimates over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
country_percentile_rank_model_score,Country-level percentile rank of the ARM headline signal (1–100),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,53,86,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
country_percentile_rank_score,"Country-level percentile rank of the ARM signal 1–100, higher indicates stronger revision prospects","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,61,122,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
country_rank_score_float,Score representing the country-based ranking for a stock.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,69,330,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
days_since_previous_financial_report,Model days since the company last reported results,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8431,17,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
earnings_surprise_previous_quarter,Percent surprise for the last reported quarter’s earnings versus the consensus at the time,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5515,27,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
earnings_surprise_previous_year,"Earnings surprise for the last fiscal year, expressed as the percent difference between actual and consensus","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7878,14,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
earnings_to_price_yield_smartest_12m,Earnings yield percentage based on the StarMine SmartEstimate for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8525,70,132,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
earnings_to_price_yield_smartest_next_year,Earnings-to-price yield percentage based on SmartEstimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8506,46,69,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
earnings_to_price_yield_smartest_year2,Earnings-to-Price yield percentage based on StarMine SmartEstimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.85,46,137,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
estimate_diffusion_thirty_days_quarterly,Estimate Diffusion FQ1 Earnings 30,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2987,1,1,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
estimate_revision_component,The portion of the score based on analyst estimate revisions.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,182,397,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_forward_earnings_12m,Difference between the SmartEstimate and the mean consensus for forward 12 months earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,29,34,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_forward_ebitda_12m,Difference between the SmartEstimate and the mean consensus for forward 12 months EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7626,13,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_next_quarter_earnings,StarMine predicted earnings surprise amount for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_next_quarter_ebitda,StarMine predicted EBITDA surprise amount for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.293,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_quarter_earnings,StarMine predicted earnings surprise amount for FQ1 (SmartEstimate minus consensus mean),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,8,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_quarter_revenue,StarMine predicted revenue surprise amount for Fiscal Quarter 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7036,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_year_earnings,StarMine predicted earnings surprise amount for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,18,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
expected_surprise_year_ebitda,Difference between the SmartEstimate and the mean consensus for Fiscal Year 1 EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7667,12,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_12m_revenue,StarMine predicted revenue surprise amount for forward 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8469,27,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_curr_qtr2_revenue,StarMine predicted revenue surprise amount for Fiscal Quarter 2 (SmartEstimate minus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4044,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_earnings_next_year,StarMine predicted earnings surprise amount for fiscal year 2 (SmartEstimate minus consensus mean),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,16,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_ebitda_qtr,StarMine predicted EBITDA surprise amount for Fiscal Quarter 1 (SmartEstimate minus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.596,1,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_12m_revenue,StarMine predicted percentage revenue surprise for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8469,21,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_curr_qtr_ebitda,StarMine predicted percentage EBITDA surprise for Fiscal Quarter 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.596,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_earnings_12m,Predicted surprise percentage for trailing 12 months earnings (actual minus predicted),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,20,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_earnings_qtr,StarMine predicted percentage earnings surprise for FQ1 (SmartEstimate vs mean),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_ebitda_12m,StarMine predicted percentage EBITDA surprise for the next 12 months (F12M),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7626,14,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_next_year_earnings,Percentage difference between the SmartEstimate and the mean consensus for Fiscal Year 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,13,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_qtr2_revenue,StarMine predicted percentage revenue surprise for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4044,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_pct_year2_revenue,"Predicted percentage revenue surprise for Fiscal Year 2, i.e., SmartEstimate versus mean consensus as a percent of the mean","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8479,43,117,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forecasted_surprise_year2_revenue,StarMine predicted revenue surprise amount for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8479,26,39,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forward_pe_ratio_mean_12m,Forward price-to-earnings ratio based on mean analyst estimates for the next 12 months (F12M),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8506,31,62,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forward_pe_ratio_mean_year,Forward price-to-earnings ratio based on mean analyst estimates for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8423,31,51,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forward_pe_ratio_mean_year2,Forward price-to-earnings ratio based on mean analyst estimates for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8518,31,58,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forward_pe_ratio_smartest_12m,Forward price-to-earnings ratio based on the SmartEstimate for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8387,54,115,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forward_pe_ratio_smartest_next_year,Forward price-to-earnings ratio based on StarMine SmartEstimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.828,36,73,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
forward_pe_ratio_smartest_year2,Forward price-to-earnings ratio based on StarMine SmartEstimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8406,48,131,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
global_percentile_rank_score,Global percentile rank of the ARM headline signal (1–100),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,83,172,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
global_percentile_score,"Global percentile rank of the ARM composite signal (1–100, higher = better)","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,68,223,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
global_percentile_score_float,"Global percentile rank of the overall ARM signal, expressed as a floating-point value","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,105,342,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
growth_rate_estimate_current_vs_prior_year_earnings,Model SmartEstimate earnings growth (this year versus last year),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7613,21,24,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
growth_rate_estimate_current_vs_prior_year_ebitda,Growth rate of EBITDA from last fiscal year to this fiscal year based on the SmartEstimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.719,9,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
growth_rate_estimate_current_vs_prior_year_revenue,"SmartEstimate growth rate for revenue, comparing this fiscal year to last fiscal year","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8159,31,49,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
growth_rate_estimate_next_vs_current_year_revenue,"SmartEstimate growth rate for revenue, comparing next fiscal year to this fiscal year","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8467,25,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
highest_estimate_change_thirty_days_quarterly,Percent change in the highest FQ1 earnings estimate over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4771,14,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
highest_estimate_prior_thirty_days_quarterly,Highest FQ1 earnings estimate as of 30 days prior,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4794,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
lowest_estimate_change_thirty_days_quarterly,Percent change in the lowest FQ1 earnings estimate over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4771,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
lowest_estimate_prior_thirty_days_quarterly,Lowest FQ1 earnings estimate as of 30 days prior,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4794,10,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
main_earnings_component,The portion of the score derived from changes in the primary earnings metric.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,182,420,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_5yr_hstrcl_grwth_rt,5year historical growth rate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7106,66,241,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_actual_last_q_earnings,Actual earnings reported for the most recent fiscal quarter,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5763,56,79,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_actual_last_q_ebitda,Actual EBITDA reported for the most recent fiscal quarter,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6645,27,41,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_actual_last_q_revenue,Actual revenue reported for the most recent fiscal quarter,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7401,25,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_actual_last_y_earnings,Actual earnings reported for the most recent fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7895,41,108,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_actual_last_y_ebitda,Actual EBITDA reported for the most recent fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7957,25,54,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_actual_last_y_revenue,Actual revenue reported for the most recent fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8392,22,38,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_new_activity_flag,"Flag indicating newly detected analyst activity or revisions impacting ARM on this date; 1 = new activity present, 0 = none","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8435,24,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_recommendations,recommendations,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,90,214,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_revenue,revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,109,211,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_revisions,revisions,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,193,595,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_score,"Overall ARM composite score (Analyst Revisions Score) for the security, expressed as a regional percentile rank where higher is better","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,65,120,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_score_change_1,Change in the ARM score over the last 1 day,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8643,37,67,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_score_change_3,Change in the ARM score over the last 3 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.864,48,112,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_score_change_60,Change in the ARM score over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8537,37,58,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_score_change_7,Change in the ARM score over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8634,51,84,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_arm_score_change_90,Change in the ARM score over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8473,56,82,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_average_revison,average revison,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.289,6,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_bld_stmt_flg_fq1_rnngs,Flag indicating whether the current fiscal quarter 1 earnings estimate is bold (significantly different from consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,15,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_blndd_grwth_ndstry_prcntl,blended growth industry percentile,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8199,28,68,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_blndd_grwth_rt_smrtstmt,blended growth rate smartestimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.82,46,72,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_blndd_grwth_sctr_prcntl,blended growth sector percentile,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8199,43,89,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_frm_52wk_hgh_prc,Percentage price change from the 52-week high price,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,44,77,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_frm_52wk_lw_prc,Percentage change from the 52-week low price to the current price,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,36,41,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_cc_40_30,Change relative to CAC 40 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,23,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_cntry_bnchmrk_30,Percentage change relative to the country benchmark over the last 30 trading days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8423,25,42,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_dj_stxx_600_30,Change relative to DJ STOXX 600 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,21,26,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_fts_100_30,Change relative to FTSE 100 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,12,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_hng_sng_30,Change relative to Hang Seng index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,19,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_js_ll_shr_30,Change relative to JSE All Share index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,16,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_msc_f_30,Change relative to MSCI EAFE index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,8,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_msc_mf_30,Change relative to MSCI Emerging Markets Free index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,11,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_msc_pc_x_jp_30,Change relative to MSCI Pacific excluding Japan index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,17,24,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_msc_rp_30,Change relative to MSCI Europe index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,11,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_ndstry_bnchmrk_30,Percentage change relative to the industry benchmark over the last 30 trading days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8423,21,25,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_r1000_grwth_30,Change relative to Russell 1000 Growth index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,14,23,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_rssll_2000_30,Change relative to Russell 2000 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,14,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_rssll_mdcp_30,Change relative to Russell Midcap index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,15,68,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_sp_400_30,Change relative to S&P 400 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,12,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_sp_500_30,Change relative to S&P 500 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,20,33,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_sp_600_30,The stock’s 30-day percentage price change minus the S&P 600 index’s 30-day percentage change,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,12,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_sx_100_30,Change relative to ASX 100 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,12,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_sx_200_30,Change relative to ASX 200 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,16,98,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_sx_300_30,Change relative to ASX 300 index over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,7,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_sx_ll_rd_30,Change relative to ASX All Ordinaries over 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,7,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_tpx_30,Stock’s 30-day percentage price change minus the TOPIX index’s 30-day percentage change,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,14,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_chng_rltv_t_tsx_cmpst_30,Stock’s 30-day percentage price change minus the TSX Composite index’s 30-day percentage change,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,22,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_dff_frm_200dy_mvng_vrg,Difference between the current price and the 200-day moving average price,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8423,39,78,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_dff_frm_50dy_mvng_vrg,Difference between the current price and the 50-day moving average price,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,32,43,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_dffrnc_frm_hstrcl_p,difference from historical (Price/Earnings ratio),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8153,39,62,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_dffrnc_frm_hstrcl_prc_rt_rnngs,Percent difference between the current P/E and the company’s historical median P/E,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8153,25,65,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_divisor_fq1_earnings,Scaling divisor used in calculations for FQ1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5656,11,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_dsnc_clstr_bgn_fq1_rnngs,Number of days since the current revision cluster for Fiscal Quarter 1 earnings began,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2335,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_dsnc_clstr_dtctd_fq1_rnngs,Number of days since a revision cluster was detected for fiscal quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2335,6,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_ep_industry_percentile_fy1,Percentile rank within industry of the Fiscal Year 1 earnings yield (E/P),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8152,76,238,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_ep_sector_percentile_fy1,Percentile rank within sector of the Fiscal Year 1 earnings yield (E/P),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8152,88,198,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_ep_yield_smartestimate_fy1,"Earnings yield (earnings-to-price ratio) for next fiscal year based on StarMine SmartEstimate, expressed as a percentage","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8153,74,182,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_est_diffusion,estimate diffusion,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.289,13,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_forward_pe_mean_f12m,Forward price to earnings ratio based on the mean consensus estimate for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8506,46,93,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_forward_pe_mean_fy1,Forward price-to-earnings ratio using the mean analyst EPS estimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8078,53,115,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_forward_pe_mean_fy2,Forward price to earnings ratio based on the mean consensus estimate for the next fiscal year FY2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8518,42,91,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_frwrd_p_stm_f12m,Forward price to earnings ratio based on StarMine SmartEstimate for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8387,39,67,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_frwrd_p_stm_fy1,Forward price-to-earnings ratio using StarMine SmartEstimate for Fiscal Year 1 EPS,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7937,48,153,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_frwrd_p_stm_fy2,Forward price to earnings ratio based on StarMine SmartEstimate for the next fiscal year FY2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8406,41,110,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_grwth_nxt_yr_ndstry_prcntl_rnngs,Industry percentile rank of next fiscal year’s earnings growth (SmartEstimate),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7914,21,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_grwth_nxt_yr_sctr_prcntl_rnngs,Sector percentile rank of next fiscal year’s earnings growth (SmartEstimate),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7914,11,47,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_grwth_ths_yr_ndstry_prcntl_rnngs,Industry percentile rank of this fiscal year’s earnings growth (SmartEstimate),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7328,24,38,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_grwth_ths_yr_sctr_prcntl_rnngs,Percentile rank versus sector peers of expected earnings growth for the current fiscal year higher indicates faster expected growth,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7328,31,49,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_high_est,Highest analyst estimate among current estimates for the period,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4676,34,42,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_high_est_chg,high estimate chg,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4653,11,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_high_price_52_2,Highest price recorded in the past 52 weeks,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,38,56,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_last_fiscal_year_pe,Price-to-earnings ratio using the last fiscal year’s actual earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7465,23,55,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_low_est,Lowest analyst estimate among current estimates for the period,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4676,25,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_low_est_chg,low estimate chg,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4653,10,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_low_price_52_2,Lowest price recorded in the past 52 weeks,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,21,26,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_lt_grwth_ndstry_prcntl,Industry percentile rank of long-term growth,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6241,18,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_lt_grwth_sctr_prcntl,Sector percentile rank of long-term growth,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6241,11,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_market_cap_l_2,Market capitalization of the company in its local currency at the given date,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,47,95,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_market_cap_u_2,Market capitalization in USD,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,42,101,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mdn_hstrcl_f12m_prc_rt_rnngs,Median historical forward 12-month price-to-earnings ratio for the company,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8365,19,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mean_est,Consensus mean estimate for the period,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5483,22,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mean_est_chg,mean estimate chg,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4653,7,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_median_historical_f12m_pe,Median historical Price-to-Earnings ratio for the last twelve months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8365,15,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_f_rvsnclstr_nlysts_fq1_rnngs,Average revision amount among analysts in the detected revision cluster for Fiscal Quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2331,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_f12m_btd,Price-to-EBITDA ratio using the mean consensus estimate for forward 12 months EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7809,22,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_f12m_rnngs,Price-to-earnings ratio using the mean consensus estimate for forward 12 months earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8506,37,76,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_f12m_rvn,Price-to-revenue ratio using the mean consensus estimate for forward 12 months revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8629,40,153,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_fy1_btd,Price-to-EBITDA ratio using the mean consensus estimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7781,13,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_fy1_rnngs,Mean analyst estimate Price-to-Earnings ratio for FY1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8078,26,50,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_fy1_rvn,Price-to-revenue ratio using the mean consensus estimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8628,21,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_fy2_btd,Price-to-EBITDA ratio using the mean consensus estimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7761,20,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_fy2_rnngs,Price-to-earnings ratio using the mean consensus estimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8518,28,66,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mn_stmt_prc_rt_fy2_rvn,Price-to-revenue ratio using the mean consensus estimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8598,17,26,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_btd_14,Percentage change in the consensus mean forward 12 month EBITDA estimate over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7753,15,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_btd_30,Percentage change in the consensus mean forward 12 month EBITDA estimate over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7722,12,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_btd_60,Percentage change in the consensus mean forward 12 month EBITDA estimate over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7653,12,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_btd_7,Percentage change in the consensus mean forward 12 month EBITDA estimate over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7764,16,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_btd_90,Percentage change in the consensus mean forward 12 month EBITDA estimate over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7571,30,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rnngs_14,Percentage change in the consensus mean forward 12 month earnings estimate over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8608,36,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rnngs_30,Percentage change in the consensus mean forward 12 month earnings estimate over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8585,25,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rnngs_60,Percentage change in the consensus mean forward 12 month earnings estimate over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8526,12,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rnngs_7,Percentage change in the consensus mean forward 12 month earnings estimate over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8615,37,61,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rnngs_90,Percentage change in the consensus mean forward 12 month earnings estimate over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8454,30,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rvn_14,Percentage change in the consensus mean forward 12 month revenue estimate over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8597,16,67,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rvn_30,Mean percentage change in revenue estimates for the next 12 months over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8574,21,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rvn_60,Mean percentage change in revenue estimates for the next 12 months over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8514,21,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rvn_7,Percentage change in the consensus mean forward 12 month revenue estimate over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8604,18,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_f12m_rvn_90,Mean percentage change in revenue estimates for the next 12 months over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8441,29,37,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_btd_14,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5732,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_btd_30,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4726,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_btd_60,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3484,6,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_btd_7,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5912,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_btd_90,Mean percentage change in EBITDA estimates for Fiscal Quarter 1 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3109,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rnngs_14,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5693,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rnngs_30,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4934,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rnngs_60,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4094,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rnngs_7,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5821,8,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rnngs_90,Mean percentage change in earnings estimates for Fiscal Quarter 1 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3756,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rvn_14,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6862,10,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rvn_30,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5923,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rvn_60,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4678,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rvn_7,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7006,9,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq1_rvn_90,Mean percentage change in revenue estimates for Fiscal Quarter 1 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4218,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_btd_14,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2934,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_btd_30,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2806,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_btd_60,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2534,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_btd_7,Mean percentage change in EBITDA estimates for Fiscal Quarter 2 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.299,3,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rnngs_14,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3686,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rnngs_30,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3599,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rnngs_60,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3434,4,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rnngs_7,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3718,1,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rnngs_90,Mean percentage change in earnings estimates for Fiscal Quarter 2 over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3278,5,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rvn_14,Mean percentage change in revenue estimates for Fiscal Quarter 2 over the last 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4041,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rvn_30,Mean percentage change in analyst revenue estimates for Fiscal Quarter 2 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3891,1,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rvn_60,Mean percentage change in analyst revenue estimates for Fiscal Quarter 2 over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3587,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rvn_7,Mean percentage change in revenue estimates for Fiscal Quarter 2 over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4102,7,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fq2_rvn_90,Mean percentage change in analyst revenue estimates for Fiscal Quarter 2 over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3293,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_btd_14,Mean percentage change in analyst EBITDA estimates for Fiscal Year 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7812,21,32,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_btd_30,Mean percentage change in analyst EBITDA estimates for Fiscal Year 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7785,6,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_btd_60,Mean percentage change in analyst EBITDA estimates for Fiscal Year 1 over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7725,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_btd_7,Mean percentage change in analyst EBITDA estimates for Fiscal Year 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7821,26,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_btd_90,Mean percentage change in analyst EBITDA estimates for Fiscal Year 1 over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.766,28,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rnngs_14,Mean percentage change in analyst earnings estimates for Fiscal Year 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8642,18,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rnngs_30,Mean percentage change in analyst earnings estimates for Fiscal Year 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8622,17,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rnngs_60,Mean percentage change in analyst earnings estimates for Fiscal Year 1 over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8572,14,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rnngs_7,Mean percentage change in analyst earnings estimates for Fiscal Year 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8648,16,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rnngs_90,Mean percentage change in analyst earnings estimates for Fiscal Year 1 over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8514,21,37,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rvn_14,Mean percentage change in analyst revenue estimates for Fiscal Year 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8631,5,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rvn_30,Mean percentage change in analyst revenue estimates for Fiscal Year 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8611,7,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rvn_60,Mean percentage change in analyst revenue estimates for Fiscal Year 1 over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8558,10,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rvn_7,Mean percentage change in analyst revenue estimates for Fiscal Year 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8637,6,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_mstchg_pct_fy1_rvn_90,Mean percentage change in analyst revenue estimates for Fiscal Year 1 over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8501,16,23,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nm_ngtv_bld_stmts_fq1_rnngs,Count of negative bold (significantly below consensus) estimates for fiscal quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,7,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nm_pstv_bld_stmts_fq1_rnngs,Count of positive bold estimates for fiscal quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,6,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nm_rvsnclstr_nlysts_fq1_rnngs,Count of analysts included in the current revision cluster for Fiscal Quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2331,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nm_stm_nlysts_fq1_rnngs,Number of analyst estimates included in the SmartEstimate for FQ1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,19,32,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq1_rnngs_14,Number of analysts revising down earnings estimates for Fiscal Quarter 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq1_rnngs_7,Number of analysts revising down earnings estimates for Fiscal Quarter 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq1_rvn_14,Number of sell-side analysts who lowered their revenue estimate for Fiscal Quarter 1 in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,11,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq1_rvn_30,Number of sell-side analysts who lowered their revenue estimate for Fiscal Quarter 1 in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq1_rvn_7,Number of sell-side analysts who lowered their revenue estimate for Fiscal Quarter 1 in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq2_rnngs_30,Number of sell-side analysts who lowered their earnings estimate for Fiscal Quarter 2 in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq2_rvn_14,Number of sell-side analysts who lowered their revenue estimate for Fiscal Quarter 2 in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fq2_rvn_30,Number of sell-side analysts who lowered their revenue estimate for Fiscal Quarter 2 in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_btd_14,Number of sell-side analysts who lowered their EBITDA estimate for Fiscal Year 1 in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_btd_30,Number of sell-side analysts who lowered their EBITDA estimate for Fiscal Year 1 in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_btd_7,Number of sell-side analysts who lowered their EBITDA estimate for Fiscal Year 1 in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,3,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_rnngs_14,Number of sell-side analysts who lowered their earnings estimate for Fiscal Year 1 in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_rnngs_30,Number of sell-side analysts who lowered their earnings estimate for Fiscal Year 1 in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_rnngs_7,Number of sell-side analysts who lowered their earnings estimate for Fiscal Year 1 in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_rvn_14,Number of sell-side analysts who lowered their revenue estimate for Fiscal Year 1 in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,7,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_rvn_30,Number of sell-side analysts who lowered their revenue estimate for Fiscal Year 1 in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_dwn_fy1_rvn_7,Number of sell-side analysts who lowered their revenue estimate for Fiscal Year 1 in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fq1_rvn_14,Number of analysts who raised their Fiscal Quarter 1 revenue estimates in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fq1_rvn_30,Number of analysts who raised their Fiscal Quarter 1 revenue estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fq1_rvn_7,Number of analysts who raised their Fiscal Quarter 1 revenue estimates in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_btd_14,Number of analysts revising up EBITDA estimates for Fiscal Year 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,17,25,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_btd_30,Number of analysts revising up EBITDA estimates for Fiscal Year 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,10,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_btd_7,Number of analysts revising up EBITDA estimates for Fiscal Year 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,22,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_rnngs_14,Number of analysts revising up earnings estimates for Fiscal Year 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_rnngs_30,Number of analysts revising up earnings estimates for Fiscal Year 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_rnngs_7,Number of analysts revising up earnings estimates for Fiscal Year 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,17,70,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_rvn_14,Number of analysts revising up revenue estimates for Fiscal Year 1 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_rvn_30,Number of analysts revising up revenue estimates for Fiscal Year 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,10,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy1_rvn_7,Number of analysts revising up revenue estimates for Fiscal Year 1 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_btd_14,Number of analysts revising up EBITDA estimates for Fiscal Year 2 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,23,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_btd_30,Number of analysts revising up EBITDA estimates for Fiscal Year 2 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,23,31,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_btd_7,Number of analysts revising up EBITDA estimates for Fiscal Year 2 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,16,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_rnngs_14,Number of analysts revising up earnings estimates for Fiscal Year 2 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,21,34,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_rnngs_30,Number of analysts revising up earnings estimates for Fiscal Year 2 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,24,73,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_rnngs_7,Number of analysts revising up earnings estimates for Fiscal Year 2 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,7,33,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_rvn_14,Number of analysts revising up revenue estimates for Fiscal Year 2 over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,12,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_rvn_30,Number of analysts revising up revenue estimates for Fiscal Year 2 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,9,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_nnlyst_rvsng_p_fy2_rvn_7,Number of analysts revising up revenue estimates for Fiscal Year 2 over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,13,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_downgrades_14,Number of analyst recommendation downgrades in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,31,41,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_downgrades_60,Number of analyst recommendation downgrades in the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,23,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_downgrades_7,Number of analyst recommendation downgrades in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,12,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_downgrades_90,Number of analyst recommendation downgrades in the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,25,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_mean_analyst,Number of analysts contributing to the mean estimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5483,31,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_revions_up,num revions up,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8282,22,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_revisons_down,num revisons down,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8282,34,82,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_upgrades_14,Number of analyst recommendation upgrades in the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,36,43,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_upgrades_60,Number of analyst recommendation upgrades in the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,12,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_upgrades_7,Number of analyst recommendation upgrades in the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,12,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_num_upgrades_90,Number of analyst recommendation upgrades in the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,20,24,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_p_yld_pct_stm_f12m,Earnings yield percentage earnings divided by price based on SmartEstimate for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8525,89,177,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_p_yld_pct_stm_fy1,Earnings yield percentage earnings divided by price based on SmartEstimate for the current fiscal year FY1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8506,54,139,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_p_yld_pct_stm_fy2,Earnings-to-Price yield percentage based on StarMine SmartEstimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.85,73,157,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_peg_mean_fy1,PEG ratio computed using forward FY1 P/E from mean estimates and the corresponding growth estimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7877,40,61,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_peg_smartestimate_fy1,(Price/Earnings-to-growth) smartestimate FYEAR1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7746,93,192,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_preferred,preferred,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8294,92,172,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_price_change_30,Percentage price change over the last 30 trading days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8424,22,26,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_f12m_earnings,Predicted surprise (actual minus predicted value) for trailing 12 months earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,34,38,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_f12m_ebitda,Difference between the StarMine SmartEstimate and the mean consensus for forward 12 months EBITDA (Predicted Surprise amount),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7626,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_f12m_revenue,StarMine predicted revenue surprise amount for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8469,33,48,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_flag_fq1_earnings,"Flag indicating the predicted surprise status such as positive, negative, or neutral for fiscal quarter 1 earnings","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fq1_earnings,"Predicted earnings surprise amount for fiscal quarter 1, i.e., SmartEstimate minus consensus mean","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5608,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fq1_ebitda,Difference between the StarMine SmartEstimate and the mean consensus for fiscal quarter 1 EBITDA (Predicted Surprise amount),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.596,9,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fq1_revenue,Difference between the StarMine SmartEstimate and the mean consensus for fiscal quarter 1 revenue (Predicted Surprise amount),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7036,6,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fq2_earnings,StarMine predicted earnings surprise amount for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fq2_ebitda,Difference between the StarMine SmartEstimate and the mean consensus for fiscal quarter 2 EBITDA (Predicted Surprise amount),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.293,3,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fq2_revenue,StarMine predicted revenue surprise amount for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4044,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fy1_earnings,StarMine predicted earnings surprise amount for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,12,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fy1_ebitda,Predicted surprise (actual minus predicted) for Fiscal Year 1 EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7667,10,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fy1_revenue,StarMine predicted revenue surprise amount for fiscal year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8491,16,24,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fy2_earnings,Difference between the StarMine SmartEstimate and the mean consensus for fiscal year 2 earnings (Predicted Surprise amount),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,10,73,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fy2_ebitda,Difference between the StarMine SmartEstimate and the mean consensus for fiscal year 2 EBITDA (Predicted Surprise amount),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7645,10,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_fy2_revenue,Difference between the StarMine SmartEstimate and the mean consensus for fiscal year 2 revenue (Predicted Surprise amount),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8479,30,48,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_f12m_earnings,StarMine predicted percentage earnings surprise for the next 12 months (SmartEstimate versus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,16,23,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_f12m_ebitda,StarMine predicted percentage EBITDA surprise for the next 12 months (SmartEstimate versus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7626,11,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_f12m_revenue,StarMine predicted percentage revenue surprise for the next 12 months (SmartEstimate versus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8469,16,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fq1_earnings,StarMine predicted percentage earnings surprise for the next fiscal quarter (SmartEstimate versus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fq1_ebitda,StarMine predicted percentage EBITDA surprise for the next fiscal quarter (SmartEstimate versus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.596,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fq1_revenue,StarMine predicted percentage revenue surprise for the next fiscal quarter (SmartEstimate versus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7036,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fq2_earnings,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal quarter 2 earnings (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,1,1,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fq2_ebitda,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal quarter 2 EBITDA (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.293,2,2,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fq2_revenue,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal quarter 2 revenue (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4044,6,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fy1_earnings,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal year 1 earnings (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,14,21,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fy1_ebitda,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal year 1 EBITDA (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7667,8,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fy1_revenue,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal year 1 revenue (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8491,12,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fy2_earnings,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal year 2 earnings (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,13,24,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fy2_ebitda,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal year 2 EBITDA (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7645,7,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_pct_fy2_revenue,Percentage difference between the StarMine SmartEstimate and the mean consensus for fiscal year 2 revenue (Predicted Surprise %),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8479,26,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_prsprise_per_fq1_earnings,predicted surprise (actual value - predicted value) per FQTR1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5608,5,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_rank,Time series of the security’s percentile rank of the overall ARM score within its universe,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8294,152,1875,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_rcmmndtn_mn_chng_14,Change in the mean analyst recommendation over the past 14 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8707,18,23,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_rcmmndtn_mn_chng_60,Change in the mean analyst recommendation over the past 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8637,12,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_rcmmndtn_mn_chng_7,Change in the mean analyst recommendation over the past 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8714,8,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_rcmmndtn_mn_chng_90,Change in the mean analyst recommendation over the past 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8582,24,42,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_recommendations,Recommendations component of ARM history capturing analyst recommendation changes and momentum,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8231,26,39,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_revenue,Revenue component of ARM history capturing analyst revenue estimate revisions,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8274,29,39,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_revisions,revisions,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8294,62,143,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_score,Time series of the overall ARM composite score (1–100) for the security,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8294,155,454,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_secondary,secondary,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7497,32,47,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_frwrd_p_stm_fy1,Forward price to earnings ratio based on StarMine SmartEstimate for the current fiscal year FY1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.828,27,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_mn_stmt_prc_rt_fy1_rnngs,Price-to-earnings ratio using the mean consensus estimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8423,19,33,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_nlyst_rvsns_scr,Composite ARM percentile score indicating strength of analyst estimate and recommendation revisions for the stock,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,73,144,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_nnlyst_rvsng_dwn_fq1_rnngs_30,Number of analysts revising down earnings estimates for Fiscal Quarter 1 over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_nnlyst_rvsng_p_fq1_rnngs_30,Number of analysts who raised their Fiscal Quarter 1 earnings estimates in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_rcmmndtn_mn_chng_30,Change in the mean analyst recommendation over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8687,14,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_rm_prfrrd_rnngs_cmpnnt,"Preferred earnings subcomponent of the ARM score (portion of final score, scaled 1–100)","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,45,65,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_rm_rcmmndtns_cmpnnt,Recommendations subcomponent score contributing to the overall ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8578,32,54,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_rm_scndry_rnngs_cmpnnt,Secondary earnings component contributing to the final ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7811,22,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_smrtst_grwth_nxt_yrths_yr_rnngs,SmartEstimate growth rate ratio of next year’s to this year’s earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8258,7,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_smrtst_grwth_ths_yrlst_yr_rnngs,SmartEstimate growth rate ratio of this year’s to last year’s earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7613,14,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_stm_fq1_rnngs,StarMine SmartEstimate (proprietary weighted consensus) for fiscal quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,10,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sm_stm_prc_rt_fy1_rnngs,Price-to-earnings ratio using StarMine SmartEstimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.828,21,44,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_actual_last_q_earnings,Actual earnings reported for the most recent fiscal quarter,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5985,10,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_actual_last_y_earnings,Actual earnings reported for the most recent fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8202,11,12,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_arm_country_rank,Country-level percentile rank of the ARM signal (integer 1–100),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,66,124,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_arm_global_rank,Global percentile rank of the ARM signal (integer 1–100),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,63,129,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_arm_new_activity_flag,Flag indicating new ARM-related analyst activity,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.88,9,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_arm_revenue_component,"Revenue subcomponent of the ARM score, reflecting revenue-related analyst signals (scaled as a component score)","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8625,28,39,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_arm_score_5,Five-day average of the composite ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,57,82,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_arm_score_change_30,Change in the ARM score over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8595,26,87,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_days_since_last_report,Number of model days since the last analyst report or estimate activity,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8791,15,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_forward_pe_mean_fy1,Forward price to earnings ratio based on the mean consensus estimate for the current fiscal year FY1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8423,29,46,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_last_fiscal_year_pe,Price to earnings ratio using earnings from the last completed fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7753,21,38,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_num_downgrades_30,Number of analyst recommendation downgrades in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,23,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_num_upgrades_30,Number of analyst recommendation upgrades in the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8763,15,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_prsprise_fq1_earnings,StarMine predicted earnings surprise amount for fiscal quarter 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_sma_trailing_4_quarter_pe,Price to earnings ratio using earnings from the most recent four reported quarters,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4072,43,66,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_f12m_ebitda,StarMine SmartEstimate (proprietary weighted consensus) for forward 12 months EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7626,11,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_f12m_revenue,StarMine SmartEstimate (proprietary weighted consensus) for forward 12 months revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8469,9,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fq1_earnings,StarMine SmartEstimate for fiscal Q1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5608,13,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fq1_ebitda,StarMine SmartEstimate (proprietary weighted consensus) for fiscal quarter 1 EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.596,12,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fq1_revenue,StarMine SmartEstimate (proprietary weighted consensus) for fiscal quarter 1 revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7036,17,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fq2_earnings,StarMine SmartEstimate (proprietary weighted consensus) for earnings for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,6,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fq2_ebitda,StarMine SmartEstimate (proprietary weighted consensus) for EBITDA for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.293,7,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fq2_revenue,StarMine SmartEstimate (proprietary weighted consensus) for revenue for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4044,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fy1_earnings,StarMine SmartEstimate (proprietary weighted consensus) for earnings for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,27,59,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fy1_ebitda,StarMine SmartEstimate (proprietary weighted consensus) for EBITDA for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7667,7,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fy1_revenue,StarMine SmartEstimate (proprietary weighted consensus) for revenue for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8491,14,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fy2_earnings,StarMine SmartEstimate (proprietary weighted consensus) for earnings for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,21,33,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fy2_ebitda,StarMine SmartEstimate (proprietary weighted consensus) for EBITDA for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7645,17,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smartestimate_fy2_revenue,StarMine SmartEstimate (proprietary weighted consensus) for revenue for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8479,14,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_f12mt12m_rnngs,Expected earnings growth from trailing 12 months to forward 12 months based on SmartEstimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7416,14,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_f24mf12m_rnngs,Expected earnings growth from forward 12 months to forward 24 months based on SmartEstimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7196,19,60,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_nxt_yrths_yr_btd,SmartEstimate growth rate ratio of next year’s to this year’s EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7587,13,13,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_nxt_yrths_yr_rnngs,Expected earnings growth from this fiscal year to next fiscal year based on the StarMine SmartEstimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7915,11,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_nxt_yrths_yr_rvn,SmartEstimate growth rate ratio of next year’s to this year’s revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8467,22,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_ths_yrlst_yr_btd,SmartEstimate growth rate ratio of this year’s to last year’s EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.719,5,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_ths_yrlst_yr_rnngs,Earnings growth from last fiscal year to this fiscal year based on the StarMine SmartEstimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7329,18,26,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_grwth_ths_yrlst_yr_rvn,SmartEstimate growth rate ratio of this year’s to last year’s revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8159,23,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_pg_ndstry_prcntl_f12m,Industry percentile ranking of the PEG ratio based on SmartEstimate and forward 12-month growth,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7794,19,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_smrtst_pg_sctr_prcntl_f12m,Sector percentile ranking of the PEG ratio based on SmartEstimate and forward 12-month growth,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7794,44,64,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_srprs_pct_lst_q_rnngs,"Percentage surprise for last quarter earnings: (actual minus predicted) divided by predicted, expressed as a percentage","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5726,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_srprs_pct_lst_q_rvn,"Percentage surprise for last quarter revenue: (actual minus predicted) divided by predicted, expressed as a percentage","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6801,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_srprs_pct_lst_y_rnngs,"Percentage surprise for last year earnings: (actual minus predicted) divided by predicted, expressed as a percentage","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8182,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_srprs_pct_lst_y_rvn,"Percentage surprise for last year revenue: (actual minus predicted) divided by predicted, expressed as a percentage","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8187,4,4,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stdv_rvsnclstr_nlysts_fq1_rnngs,Standard deviation of revision amounts among analysts in the revision cluster for Fiscal Quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2331,6,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stdv_stm_nlysts_fq1_rnngs,Standard deviation of analyst estimates contributing to the FQ1 earnings SmartEstimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5608,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_chng_fq1_rnngs_30,Change in the SmartEstimate for FQ1 earnings over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4674,7,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_f12m_rnngs,StarMine SmartEstimate (proprietary weighted consensus) for forward 12 months earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,28,32,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_f12m_btd,Price-to-EBITDA ratio using StarMine SmartEstimate for forward 12 months EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7658,26,39,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_f12m_rnngs,Price-to-earnings ratio using StarMine SmartEstimate for forward 12 months earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8387,31,59,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_f12m_rvn,Price-to-revenue ratio using StarMine SmartEstimate for forward 12 months revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8493,38,51,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_fy1_btd,Price-to-EBITDA ratio using StarMine SmartEstimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7622,28,67,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_fy1_rnngs,Price-to-earnings ratio based on the StarMine SmartEstimate for FY1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7937,30,45,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_fy1_rvn,Price-to-revenue ratio using StarMine SmartEstimate for Fiscal Year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8484,26,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_fy2_btd,Price-to-EBITDA ratio using StarMine SmartEstimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7624,24,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_fy2_rnngs,Price-to-earnings ratio using StarMine SmartEstimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8405,36,71,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prc_rt_fy2_rvn,Price-to-revenue ratio using StarMine SmartEstimate for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8473,23,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_stm_prr_fq1_rnngs_7,The StarMine SmartEstimate for Fiscal Quarter 1 earnings as of seven days prior,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5554,5,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_surprise_60_q,surprise (actual value - predicted value) 60 q,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3787,12,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_surprise_60_y,surprise (actual value - predicted value) 60 y,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7673,11,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_surprise_pct_last_q_ebitda,"Percentage surprise for last quarter EBITDA: (actual minus predicted) divided by predicted, expressed as a percentage","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5734,21,32,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_surprise_pct_last_y_ebitda,"Percentage surprise for last year EBITDA: (actual minus predicted) divided by predicted, expressed as a percentage","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7372,10,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_surprise_q,surprise (actual value - predicted value) q,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.54,19,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_surprise_y,surprise (actual value - predicted value) y,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7747,11,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_traded_volume_2,traded volume (in 1000s),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,12,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_traded_volume_l_2,traded volume (in 1000s)-Local Currency,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,15,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_traded_volume_u_2,traded volume (in 1000s)-USD,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,13,14,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_trailing_4_quarter_pe,Price-to-earnings ratio using the sum of earnings per share over the most recent four reported quarters,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3954,35,67,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_yld_ndstry_prcntl_fy1_rnngs,Industry percentile ranking of the dividend yield based on FY1 estimates,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8152,48,112,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_yld_sctr_prcntl_fy1_rnngs,Sector percentile ranking of the dividend yield based on FY1 estimates,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8152,53,105,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl26_yld_stm_fy1_rnngs,Dividend yield percentage estimated using StarMine SmartEstimate for fiscal year 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8153,66,194,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mean_estimate_seven_days_ago_quarterly,Mean FQ1 earnings estimate as of 7 days prior,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5608,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mean_estimate_to_price_ratio_year1_ebitda,Consensus mean price-to-EBITDA ratio for FY1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7781,19,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mean_revision_thirty_days_quarterly,Average percent change of individual analyst FQ1 earnings estimate revisions over the past 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.2987,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
model_score_delta_3d,Change in the StarMine ARM score over the last 3 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.864,23,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
model_score_delta_60d,Change in the StarMine ARM composite score over the last 60 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8537,26,37,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
new_model_activity_indicator,Flag indicating newly detected activity or updates in the StarMine ARM dataset for the company since the prior day,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.88,11,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
parent_entity_indicator,Indicator flag showing whether the company is a parent company in a corporate group,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8435,6,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_expected_surprise_next_quarter_earnings,StarMine predicted percentage earnings surprise for Fiscal Quarter 2 (SmartEstimate vs mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_expected_surprise_next_quarter_ebitda,StarMine predicted percentage EBITDA surprise for Fiscal Quarter 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.293,1,1,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_expected_surprise_next_year_earnings,"Predicted percentage earnings surprise for Fiscal Year 2, i.e., SmartEstimate versus mean consensus as a percent of the mean","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,20,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_expected_surprise_next_year_ebitda,StarMine predicted percentage EBITDA surprise for FY2 (SmartEstimate vs mean),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7645,13,29,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_expected_surprise_quarter_revenue,StarMine predicted percentage revenue surprise for Fiscal Quarter 1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7036,13,22,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_expected_surprise_year_ebitda,"StarMine predicted percentage surprise for FY1 EBITDA, i.e., (SmartEstimate − mean) / mean","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7667,21,48,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_expected_surprise_year_revenue,Predicted percentage revenue surprise for Fiscal Year 1 (SmartEstimate vs mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8491,17,37,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_surprise_reported_earnings_previous_year,"Percentage surprise for the last year’s earnings, calculated as actual reported minus consensus estimate, expressed as a percent of the consensus","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8182,12,15,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_surprise_reported_ebitda_previous_year,"Percentage surprise for the last year’s EBITDA, calculated as actual reported minus consensus estimate, expressed as a percent of the consensus","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7372,10,18,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_surprise_reported_revenue_previous_quarter,"Percentage surprise for the last quarter’s revenue, calculated as actual reported minus consensus estimate, expressed as a percent of the consensus","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6801,17,26,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pct_surprise_reported_revenue_previous_year,"Percentage surprise for the last year’s revenue, calculated as actual reported minus consensus estimate, expressed as a percent of the consensus","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8187,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pe_ratio_previous_fiscal_year,Price-to-earnings ratio using earnings from the last completed fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7753,23,36,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
pe_ratio_trailing_4q_2,Price-to-earnings ratio using earnings from the most recent four reported quarters,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4072,39,59,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
predicted_surprise_pct_year1_revenue,StarMine predicted revenue surprise amount for Fiscal Year 1 (SmartEstimate minus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8491,20,31,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
predicted_surprise_pct_year2_ebitda,StarMine predicted EBITDA surprise amount for Fiscal Year 2 (SmartEstimate minus mean consensus),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7645,18,38,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_earnings_ratio_12m,Mean price-to-earnings estimate ratio for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8506,33,53,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_earnings_ratio_year,Price-to-earnings ratio using the mean (consensus) estimate for Fiscal Year 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8423,23,39,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_estimate_next_year_earnings_ratio,Mean price-to-earnings estimate ratio for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8518,35,78,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_estimate_ratio_12m_ebitda,Mean price-to-EBITDA estimate ratio for the next 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7809,27,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_estimate_ratio_next_year_revenue,Price-to-revenue ratio using the mean (consensus) estimate for Fiscal Year 1 revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8628,33,50,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_estimate_ratio_year2_ebitda,Mean price-to-EBITDA estimate ratio for Fiscal Year 2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7761,34,61,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_estimate_ratio_year2_revenue,Consensus mean price-to-revenue ratio for FY2,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8598,22,98,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_mean_revenue_ratio_12m,Mean price-to-revenue estimate ratio for forward 12 months,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8629,32,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_earnings_ratio_next_year,Price-to-earnings ratio using the SmartEstimate for Fiscal Year 2 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8405,45,77,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_ebitda_ratio_year,StarMine SmartEstimate price-to-EBITDA ratio for FY1,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7622,27,50,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_estimate_ratio_12m_earnings,Price-to-earnings ratio for the next 12 months based on the SmartEstimate of forward 12-month earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8387,48,75,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_estimate_ratio_next_year_earnings,Price-to-earnings ratio using the StarMine SmartEstimate for Fiscal Year 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.828,27,34,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_estimate_ratio_next_year_revenue,Price-to-revenue ratio using the StarMine SmartEstimate for Fiscal Year 1 revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8484,33,57,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_estimate_ratio_year2_revenue,Price-to-revenue ratio using the StarMine SmartEstimate for Fiscal Year 2 revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8473,34,58,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_forward_ebitda_ratio,Price-to-EBITDA ratio using StarMine SmartEstimate for forward 12 months EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7658,24,47,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_forward_revenue_ratio,Price-to-revenue ratio using StarMine SmartEstimate for forward 12 months revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8493,29,67,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
price_to_smartest_next_year_ebitda_ratio,Price-to-EBITDA ratio using the StarMine SmartEstimate for Fiscal Year 2 EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7624,29,48,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
primary_earnings_measure_type_4,Preferred methodology or measure for earnings used in analysis,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,4,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
recommendation_change_score,Recommendations component portion of the final ARM score expressed as a percentile 1–100,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8578,33,150,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
recommendation_change_score_component,ARM recommendations component percentile score reflecting recommendation momentum,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8578,27,44,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
region_rank_decimal_score,"Region-specific relative rank of the ARM signal, expressed in decimal form","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,91,626,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
region_rank_score_decimal,Region-specific relative rank of the ARM signal expressed as a decimal percentile,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,84,455,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
region_score_component,Score component reflecting the regional ranking of the stock.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,7,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
region_score_float,Score representing the region-based ranking for a stock.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,6,10,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
reported_earnings_last_fiscal_year,Actual earnings reported for the most recent fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8202,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
reported_earnings_previous_quarter,Actual earnings reported for the most recent fiscal quarter,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5985,7,7,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
reported_ebitda_last_quarter,Actual EBITDA reported for the most recent fiscal quarter,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.6645,6,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
reported_ebitda_previous_year,Actual EBITDA reported for the most recent fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7957,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
reported_revenue_last_fiscal_year,Actual revenue reported for the most recent fiscal year,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8392,8,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
reported_revenue_last_quarter,Actual revenue reported for the most recent fiscal quarter,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7401,5,5,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
revenue_component_score,The portion of the score based on changes in revenue estimates.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,46,73,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
revenue_revision_score_3,Revenue component portion of the final ARM score expressed as a percentile 1–100,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8625,30,46,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_analyst_estimate_revisions,"Composite StarMine ARM percentile score reflecting the direction, breadth, and momentum of analyst estimate revisions","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,109,199,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_avg_5d,ARM score averaged over the past 5 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,104,309,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_change_model_30d,Change in the StarMine ARM composite score over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8595,29,35,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_change_model_7d,Change in the StarMine ARM composite score over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8634,35,58,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_component_primary_earnings,Preferred earnings component portion of the final ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,59,104,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_component_primary_earnings_float,ARM preferred earnings component percentile score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8645,47,72,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_delta_1d,Change in the ARM composite score over the last 1 day,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8643,36,55,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
score_delta_90d,Change in the StarMine ARM score over the last 90 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8473,74,207,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
secondary_earnings_score,Secondary earnings component portion of the final ARM score expressed as a percentile 1–100,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7811,36,60,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
secondary_earnings_score_component,Score component reflecting revisions and surprises in secondary earnings measures.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7811,35,53,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
seven_day_mean_estimate_change_flag_quarterly,Flag indicating a significant change in mean quarterly earnings estimates over seven days.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3316,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
sixty_day_earnings_surprise_quarter,Earnings surprise for the last quarter measured over the past 60 days.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.389,8,8,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
sixty_day_earnings_surprise_year,Earnings surprise for the last year measured over the past 60 days.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7808,9,9,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
smartest_growth_ebitda_next_vs_this_year,Growth rate of EBITDA from this fiscal year to next fiscal year based on the SmartEstimate,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7587,10,16,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
smartest_growth_rate_next_vs_current_year_earnings,"SmartEstimate growth rate for earnings, comparing next fiscal year to this fiscal year","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8258,13,17,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_country_rank,Country-level percentile rank of the ARM signal (higher means stronger revisions vs country peers),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.829,509,3909,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_global_rank,Global percentile rank of the ARM signal (higher means stronger revisions vs global peers),"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.829,543,5926,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_pref_earnings_score,Percentile sub-score for the company’s preferred earnings metric revisions used by ARM; contributes to the overall ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.829,244,1171,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_change_flag,Flag indicating whether the mean recommendation changed over the last 7 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.301,54,79,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_days_since_2lv_change,Number of days since a two-level change in analyst recommendation occurred,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7342,49,115,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_days_since_new,Number of calendar days since the most recent new analyst recommendation was issued,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.843,55,123,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_days_since_newsell,Number of calendar days since the latest new Sell recommendation was issued for the stock,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.724,86,250,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_mean_change30,Change in the average analyst recommendation over the past 30 calendar days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8334,67,179,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_mean_prior7,The mean analyst recommendation as of 7 calendar days ago,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8359,95,188,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_ndown_30,Count of analyst rating downgrades in the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8406,68,165,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_rec_nup_30,Count of analyst rating upgrades in the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8406,49,104,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_recommendations_score,Percentile sub-score capturing analyst recommendation momentum; contributes to the overall ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8226,186,1057,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_region_rank_decimal,Regional percentile rank expressed as a decimal between 0 and 1 for the ARM signal,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.829,135,368,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_revenue_score,Percentile sub-score for revenue estimate revisions; contributes to the overall ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.827,107,220,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_score,Headline ARM composite score summarizing analyst estimate and recommendation revisions,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.829,359,2060,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_score_5,Five-day moving average of the ARM composite (Analyst Revisions) score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.829,120,287,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_score_change_1m,Change in the ARM composite score over the last 30 days,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8245,79,246,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
star_arm_secondary_earnings_score,Percentile sub-score for the secondary earnings metric revisions; contributes to the overall ARM score,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7491,103,231,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
stock_model_score,Overall score assigned to the stock by the model.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,32,47,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
stock_percentile_ranking,Percentile rank of the stock based on the model score.,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,1.0,170,428,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
suspect_data_indicator_any_earnings,"Indicator flag showing whether any earnings-related data (across forecast/reporting periods) is considered suspect; 1 = suspect, 0 = not suspect","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,4,6,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
suspect_data_indicator_model,"Indicator that the ARM calculation/data for this record are suspect (1=flagged, 0=clean)","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8432,9,30,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
suspect_data_indicator_quarter1_earnings,"Indicator that FQ1 earnings data are suspect (1=flagged, 0=clean)","{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8408,3,3,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_12m_earnings,StarMine weighted consensus estimate for forward 12 months earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,35,55,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_12m_ebitda,StarMine weighted consensus estimate for forward 12 months EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7626,35,66,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_curr_qtr_ebitda,StarMine weighted consensus estimate for Fiscal Quarter 1 EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.596,18,42,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_curr_qtr_revenue,StarMine weighted consensus estimate for Fiscal Quarter 1 revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7036,21,34,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_forward_12m_revenue,StarMine weighted consensus estimate for forward 12 months revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8469,31,69,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_next_quarter_earnings,StarMine SmartEstimate (weighted consensus) for Fiscal Quarter 2 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,14,23,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_next_quarter_revenue,StarMine SmartEstimate (proprietary weighted analyst consensus) for Fiscal Quarter 2 revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.4044,19,28,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_next_year_earnings,StarMine SmartEstimate (proprietary weighted analyst consensus) for next fiscal year (FY1) earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,29,67,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_next_year_earnings_2,StarMine SmartEstimate (proprietary weighted analyst consensus) for the following fiscal year (FY2) earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,34,50,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_next_year_ebitda,StarMine SmartEstimate (proprietary weighted analyst consensus) for next fiscal year (FY1) EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7667,22,52,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_next_year_ebitda_2,SmartEstimate consensus for FY2 EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.7645,37,65,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_next_year_revenue,StarMine SmartEstimate (proprietary weighted analyst consensus) for next fiscal year (FY1) revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8491,25,31,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_qtr2_ebitda,StarMine SmartEstimate (proprietary weighted analyst consensus) for Fiscal Quarter 2 EBITDA,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.293,9,11,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_quarter_earnings,StarMine weighted consensus estimate for Fiscal Quarter 1 earnings,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,14,19,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
weighted_estimate_year2_revenue,StarMine SmartEstimate (proprietary weighted analyst consensus) for the following fiscal year (FY2) revenue,"{'id': 'model26', 'name': 'Analyst Revisions'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-revisions-models', 'name': 'Revisions Models'}",IND,1,TOP500,MATRIX,0.9507,0.8479,23,27,1.3,[],model26,Analyst Revisions,model,Model,model-revisions-models,Revisions Models
mdl262_cur_mae,Mean absolute error of the Enterprise Value prediction/model,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9758,65,234,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_cur_predict,Predicted Enterprise Value (market-implied EV) from the model with 1-day delay,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,71,368,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebit_a_mae,Mean absolute error (MAE) of the annual EBIT prediction for this model,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.2572,12,12,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebit_a_predict,Predicted (market-implied) annual EBIT,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,59,271,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebit_q_mae,Mean absolute error (MAE) of the quarterly EBIT prediction for this model,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.2572,3,3,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebit_q_predict,Predicted (market-implied) quarterly EBIT,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,41,117,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebit_ttm_mae,Mean absolute error (MAE) of the trailing-twelve-month EBIT prediction for this model,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.2572,7,8,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebit_ttm_predict,Predicted (market-implied) trailing-twelve-month EBIT,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,47,116,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebitd_a_predict,"Market-implied annual Earnings before Interest, Tax, and Depreciation (EBITD) prediction, one-day delayed (D1)","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,29,58,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebitd_q_predict,"Market-implied quarterly Earnings before Interest, Tax, and Depreciation (EBITD) prediction, one-day delayed (D1)","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,25,49,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebitd_ttm_predict,"Market-implied trailing-twelve-month Earnings before Interest, Tax, and Depreciation (EBITD) prediction, one-day delayed (D1)","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,44,283,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebt_a_predict,"Market-implied forecast of annual earnings before tax (EBT), with 1-day delay","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,32,80,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebt_q_predict,"Market-implied forecast of quarterly earnings before tax (EBT), with 1-day delay","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,17,43,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ebt_ttm_predict,"Market-implied forecast of trailing-twelve-month earnings before tax (EBT), with 1-day delay","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,23,47,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_fcf_a_predict,Predict value of Free Cash Flow,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,50,254,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_fcf_q_predict,Predict value of Free Cash Flow,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,43,212,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_fcf_ttm_predict,Predict value of Free Cash Flow,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,51,241,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ni_a_predict,"Market-implied forecast of annual Net Income, as of D0","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,35,208,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ni_q_predict,"Market-implied forecast of quarterly Net Income, as of D0","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,33,103,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_ni_ttm_predict,"Market-implied forecast of Net Income on a trailing-twelve-month (TTM) basis, as of D0","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,50,290,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_rev_a_predict,Predict value of Revenue - Total,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,14,45,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_rev_q_predict,Predict value of Revenue - Total,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,29,113,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_rev_ttm_predict,"Market‑implied predicted Total Revenue on a trailing‑twelve‑month basis (as of close, D0)","{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,42,236,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_totd_a_predict,Market implied point in time prediction of annual Total Debt with a 1 trading day delay,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,37,108,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
mdl262_totd_q_predict,Market implied point in time prediction of quarterly Total Debt with a 1 trading day delay,"{'id': 'model262', 'name': 'DNN prediction of fundamentals'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.9893,43,255,1.3,[],model262,DNN prediction of fundamentals,model,Model,model-estimates-models,Estimates Models
annualized_asset_drift_pct,Annualized rate of change in asset value used in default modeling.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9696,52,72,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
annualized_asset_volatility_pct,Annualized volatility of asset value used in default modeling.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9689,14,15,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
asset_drift_rate_pct,Annualized rate of change in asset value used in default modeling (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9695,28,31,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
asset_volatility_annualized_pct,Annualized volatility of asset value used in default modeling (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9688,20,22,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
country_default_risk_percentile,Percentile rank of default likelihood within the same country.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9687,16,21,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
country_default_risk_percentile_backfill,Percentile rank of default likelihood within the same country (backfill version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,13,18,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
country_default_risk_percentile_float,Percentile rank of default likelihood within the same country (float version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,6,7,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
country_default_risk_percentile_v1,Percentile rank of default likelihood within the same country (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,8,16,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_probability_one_year_pct,"Estimated probability of default over the next year, expressed as a percent (original version).","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,17,22,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_country_percentile_d1,Percentile rank of default likelihood within the same country (d1 version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,9,9,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_global_percentile_d1,Percentile rank of default likelihood compared to all companies worldwide (d1 version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,13,18,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_global_percentile_v1,Percentile rank of default likelihood compared to all companies worldwide (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,12,19,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_industry_percentile_d1,Percentile rank of default likelihood within the same industry group (d1 version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9684,4,5,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_region_percentile_d1,Percentile rank of default likelihood within the same geographic region (d1 version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,8,13,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_sector_percentile_d1,Percentile rank of default likelihood within the same economic sector (d1 version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,7,18,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
default_threshold_to_asset_ratio,Ratio comparing the default threshold to total asset value (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9808,33,39,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
distance_to_default_standard_deviation,Number of standard deviations between asset value and default threshold (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,12,44,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
distance_to_default_stddev,Number of standard deviations between asset value and default threshold.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9687,54,280,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
global_default_risk_percentile,Percentile rank of default likelihood compared to all companies globally.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9687,33,72,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
global_default_risk_percentile_backfill,Percentile rank of default likelihood compared to all companies globally (backfill version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,29,43,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
global_default_risk_percentile_v1,Percentile rank of default likelihood compared to all companies globally (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,13,20,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
industry_default_risk_percentile,Percentile rank of default likelihood within the same industry.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9685,33,80,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
industry_default_risk_percentile_backfill,Percentile rank of default likelihood within the same industry (backfill version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.969,23,47,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
industry_default_risk_percentile_float,Percentile rank of default likelihood within the same industry (float version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9684,15,20,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
industry_default_risk_percentile_v1,Percentile rank of default likelihood within the same industry (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9684,15,26,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
leverage_ratio_to_assets,Ratio comparing the default threshold to total asset value.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9811,11,12,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
model_based_letter_grade_backfill,Agency-style rating derived from model-estimated default probability (backfill version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,12,39,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
model_based_letter_grade_d1,Agency-style rating derived from model-estimated default probability (d1 version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,4,11,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
model_based_letter_grade_v1,Agency-style rating derived from model-estimated default probability (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,2,2,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
one_year_default_probability_pct,"Estimated probability of default over the next year, expressed as a percent.","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9687,19,24,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
region_default_risk_percentile,Percentile rank of default likelihood within the same region.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9687,16,42,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
region_default_risk_percentile_backfill,Percentile rank of default likelihood within the same region (backfill version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,22,38,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
region_default_risk_percentile_float,Percentile rank of default likelihood within the same region (float version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,9,13,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
region_default_risk_percentile_v1,Percentile rank of default likelihood within the same region (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,5,8,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
sector_default_risk_percentile,Percentile rank of default likelihood within the same sector.,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9687,11,39,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
sector_default_risk_percentile_backfill,Percentile rank of default likelihood within the same sector (backfill version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,11,36,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
sector_default_risk_percentile_float,Percentile rank of default likelihood within the same sector (float version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,13,18,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
sector_default_risk_percentile_v1,Percentile rank of default likelihood within the same sector (original version).,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,6,13,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_asset_drift_pct,1-100 rank of the annualized rate of change of the market value of the firm’s assets,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9695,63,105,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_asset_drift_pct_bfl,"The current 1-100 percentile rank, among other firms in the same region and industry, of a company's 1.year default probability","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9701,51,72,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_asset_volatility_pct,annualized volatility of the market value of the firm’s assets,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9688,19,22,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_asset_volatility_pct_bfl,1-100 rank of the annualized rate of change of the market value of the firm’s assets,"{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9694,24,51,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_country_rank,"""The current 1-100 percentile rank, by country, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,42,60,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_country_rank_bfl,"""The current 1-100 percentile rank, by country, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,19,26,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_dist_to_default,"Number of standard deviations difference between the market value of the firm's assets and its estimated default point.,,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,24,52,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_dist_to_default_bfl,"Number of standard deviations difference between the market value of the firm's assets and its estimated default point.,,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,14,32,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_global_rank,"""The current global 1-100 percentile rank of a company's 1-year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1-year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,50,143,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_global_rank_bfl,"""The current global 1-100 percentile rank of a company's 1-year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1-year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,13,16,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_implied_rating,"Agency.equivalent credit rating implied by the current estimated forward 1.year SCR default probability.,,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9867,29,96,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_industry_rank,"""The current 1-100 percentile rank, among other firms in the same region and industry, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9684,18,23,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_industry_rank_bfl,"""The current 1-100 percentile rank, among other firms in the same region and industry, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.969,11,13,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_leverage,"The current 1-100 percentile rank, among other firms in the same region and industry, of a company's 1.year default probability","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9808,33,58,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_leverage_bfl,"the current 1-100 percentile rank, among other firms in the same region and industry, of a company's 1.year default probability b","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9815,25,45,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_pd_pct,"A percentage that indicates the probability,that the company will go bankrupt, or default on its debt obligations,
over the next 1-year period","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,17,20,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_pd_pct_bfl,"A percentage that indicates the probability,that the company will go bankrupt, or default on its debt obligations,
over the next 1-year period","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,8,8,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_region_rank,"""The current 1-100 percentile rank, among other firms in the same region, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,10,10,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_region_rank_bfl,"""The current 1-100 percentile rank, among other firms in the same region, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,18,20,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_sector_rank,"""The current 1-100 percentile rank, among other firms in the same region and industrial sector, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,17,17,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
star_cr_sector_rank_bfl,"""The current 1-100 percentile rank, among other firms in the same region and industrial sector, of a company's 1.year default probability based on the Structural Component of the Thomson Reuters StarMine Credit Risk Model. Higher scores indicate companies that are less likely to go bankrupt, or default on their debt obligations, within the next 1.year period."",,,","{'id': 'model28', 'name': 'Structural Credit Risk Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.9692,14,15,1.3,[],model28,Structural Credit Risk Model,model,Model,model-risk-based-models,Risk Based Models
analyst_count_quarter1_new,Number of analysts contributing to the weighted estimate for current fiscal quarter (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.877,36,48,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
analyst_count_quarter2_new,Number of analysts contributing to the weighted estimate for next fiscal quarter (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.877,31,48,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
analyst_count_year1_new,Number of analysts contributing to the weighted estimate for current fiscal year (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.877,33,46,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
analyst_count_year2_new,Number of analysts contributing to the weighted estimate for next fiscal year (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.877,32,37,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
entity_parent_indicator,Indicator showing whether the entity is a parent company.,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.88,6,8,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
entity_parent_indicator_new,Indicator showing whether the entity is a parent company (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8803,4,4,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
forecast_surprise_percent_forward12m_new,Percent difference between weighted and consensus estimates for forward 12 months (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7628,8,10,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
forecast_surprise_percent_quarter1_new,Percent difference between weighted and consensus estimates for current quarter (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.5961,7,8,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
forecast_surprise_percent_quarter2_new,Percent difference between weighted and consensus estimates for next quarter (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.2931,2,2,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
forecast_surprise_percent_year1_new,Percent difference between weighted and consensus estimates for current fiscal year (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.767,11,11,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
forecast_surprise_percent_year2_new,Percent difference between weighted and consensus estimates for next fiscal year (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7647,9,9,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl29_parent_flag_d1,Parent Flag,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.88,18,107,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fq1,FQ1 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,31,47,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fq1_d1,FQ1 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,13,18,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fq2,FQ2 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,6,6,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fq2_d1,FQ2 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,16,18,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fy1,FY1 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,21,24,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fy1_d1,FY1 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,16,19,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fy2,FY2 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,15,15,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_analyst_number_fy2_d1,FY2 Number of SE Analysts,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,13,13,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_12m,F12M SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7626,47,63,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_12m_d1,F12M SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7626,32,41,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fq1,FQ1 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.596,24,42,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fq1_d1,FQ1 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.596,24,27,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fq2,FQ2 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.293,9,9,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fq2_d1,FQ2 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.293,8,9,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fy1,FY1 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7667,24,53,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fy1_d1,FY1 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7667,17,22,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fy2,FY2 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7645,23,39,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_smart_estimate_fy2_d1,FY2 SmartEstimate,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7645,32,40,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_12m,Surprise between estimate & consensus for 12m look ahead period,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7626,21,31,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_12m_d1,Surprise between estimate & consensus for 12m look ahead period,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7626,8,13,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fq1,Surprise between estimate & consensus for most recent quarter,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.596,10,28,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fq1_d1,Surprise between estimate & consensus for most recent quarter,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.596,7,10,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fq2,Surprise between estimate & consensus for next quarter,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.293,6,7,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fq2_d1,Surprise between estimate & consensus for next quarter,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.293,5,5,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fy1,Surprise between estimate & consensus for current fiscal year,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7667,16,21,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fy1_d1,Surprise between estimate & consensus for current fiscal year,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7667,13,13,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fy2,Surprise between estimate & consensus for next fiscal year,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7645,13,17,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
star_ebitda_surprise_prediction_fy2_d1,Surprise between estimate & consensus for next fiscal year,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7645,12,15,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
weighted_estimate_forward12m_new,Weighted financial estimate for the forward 12 months period (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7628,30,55,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
weighted_estimate_quarter1_new,Weighted financial estimate for the current fiscal quarter (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.5961,15,17,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
weighted_estimate_quarter2_new,Weighted financial estimate for the next fiscal quarter (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.2931,5,5,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
weighted_estimate_year1_new,Weighted financial estimate for the current fiscal year (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.767,13,29,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
weighted_estimate_year2_new,Weighted financial estimate for the next fiscal year (new data).,"{'id': 'model29', 'name': 'EBITDA Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,1.0,0.7647,20,39,1.3,[],model29,EBITDA Estimate Model,model,Model,model-estimates-models,Estimates Models
is_parent_company_flag,"Indicator whether the entity is a parent company (1 = parent, 0 = otherwise)","{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.88,11,11,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_numnly_fq1_eps,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Quarter 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.877,42,75,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_numnly_fq2_eps,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Quarter 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.877,31,59,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_numnly_fy1_eps,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Year 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.877,39,152,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_numnly_fy2_eps,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Year 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.877,27,37,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_parent_flag_d1,Indicator if the entity is a parent company where 1 indicates parent and 0 otherwise,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.88,12,25,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_psprise_pct_f12m_eps,Predicted percent surprise in EPS for forward 12 months (SmartEstimate versus consensus mean),"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8486,51,87,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_psprise_pct_fq1_eps,Predicted percent surprise in EPS for Fiscal Quarter 1 (SmartEstimate versus consensus mean),"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.5828,22,28,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_psprise_pct_fq2_eps,Predicted percent surprise in EPS for Fiscal Quarter 2 (SmartEstimate versus consensus mean),"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.3602,22,27,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_psprise_pct_fy1_eps,Predicted percent surprise in EPS for Fiscal Year 1 (SmartEstimate versus consensus mean),"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8513,86,137,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_psprise_pct_fy2_eps,Predicted percent surprise in EPS for Fiscal Year 2 (SmartEstimate versus consensus mean),"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8507,30,49,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_smartestimate_f12m_eps,StarMine SmartEstimate (analyst-weighted) EPS forecast for Forward 12 Months,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8486,52,91,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_smartestimate_fq1_eps,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Quarter 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.5828,35,55,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_smartestimate_fq2_eps,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Quarter 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.3602,19,23,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_smartestimate_fy1_eps,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Year 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8513,127,218,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl30_smartestimate_fy2_eps,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Year 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8507,86,129,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
parent_company_indicator,"Indicator if the entity is a parent company (1 parent, 0 otherwise)","{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8803,18,29,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_analyst_number_fq1_d1,Number of analysts included in the SmartEstimate for EPS for fiscal quarter 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,25,30,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_analyst_number_fq2_d1,Number of analysts included in the SmartEstimate for EPS for fiscal quarter 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,13,15,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_analyst_number_fy1_d1,Number of analysts included in the SmartEstimate for EPS for fiscal year 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,15,35,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_analyst_number_fy2_d1,Number of analysts included in the SmartEstimate for EPS for fiscal year 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,8,9,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_smart_estimate_12m_d1,StarMine SmartEstimate of EPS for the forward 12 months,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,60,99,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_smart_estimate_fq1_d1,StarMine SmartEstimate of EPS for fiscal quarter 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,17,22,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_smart_estimate_fq2_d1,StarMine SmartEstimate of EPS for fiscal quarter 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,14,16,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_smart_estimate_fy1_d1,StarMine SmartEstimate of EPS for fiscal year 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,47,56,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_smart_estimate_fy2_d1,StarMine SmartEstimate of EPS for fiscal year 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,70,97,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_surprise_prediction_12m_d1,Percentage difference between the SmartEstimate and the consensus mean for EPS for the forward 12 months,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,39,44,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_surprise_prediction_fq1_d1,Percentage difference between the SmartEstimate and the consensus mean for EPS for fiscal quarter 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,7,9,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_surprise_prediction_fq2_d1,Percentage difference between the SmartEstimate and the consensus mean for EPS for fiscal quarter 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,7,8,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_surprise_prediction_fy1_d1,Percentage difference between the SmartEstimate and the consensus mean for EPS for fiscal year 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,20,25,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_eps_surprise_prediction_fy2_d1,Percentage difference between the SmartEstimate and the consensus mean for EPS for fiscal year 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,22,43,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_analyst_number_fq1,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Quarter 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,14,17,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_analyst_number_fq2,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Quarter 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,11,23,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_analyst_number_fy1,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Year 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,12,17,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_analyst_number_fy2,Number of analysts included in the StarMine SmartEstimate for EPS for Fiscal Year 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8767,16,21,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_smart_estimate_12m,StarMine SmartEstimate (analyst-weighted) EPS forecast for the forward 12 months,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,55,93,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_smart_estimate_fq1,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Quarter 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,20,22,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_smart_estimate_fq2,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Quarter 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,13,19,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_smart_estimate_fy1,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Year 1,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,43,56,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_smart_estimate_fy2,StarMine SmartEstimate (analyst-weighted) EPS forecast for Fiscal Year 2,"{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,60,94,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_surprise_prediction_12m,"Predicted surprise percentage for EPS over the forward 12 months, as the deviation of SmartEstimate from the consensus mean","{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8483,28,38,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_surprise_prediction_fq1,"Predicted surprise percentage for EPS for Fiscal Quarter 1, as the deviation of SmartEstimate from the consensus mean","{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.5826,11,14,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_surprise_prediction_fq2,"Predicted surprise percentage for EPS for Fiscal Quarter 2, as the deviation of SmartEstimate from the consensus mean","{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.3601,6,6,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_surprise_prediction_fy1,"Predicted surprise percentage for EPS for Fiscal Year 1, as the deviation of SmartEstimate from the consensus mean","{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.851,16,26,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
star_new_eps_surprise_prediction_fy2,"Predicted surprise percentage for EPS for Fiscal Year 2, as the deviation of SmartEstimate from the consensus mean","{'id': 'model30', 'name': 'EPS Estimate Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.8504,18,23,1.3,[],model30,EPS Estimate Model,model,Model,model-estimates-models,Estimates Models
mdl313_iai,"Intangible Asset Intensity Score (composite of KCI and OCI), normalized [0,1]","{'id': 'model313', 'name': 'Intangible Asset Factors'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.6749,31,40,1.3,[],model313,Intangible Asset Factors,model,Model,model-estimates-models,Estimates Models
mdl313_ico,"Organizational Capital Intensity Score, calculated from capitalized SG&A, normalized [0,1]","{'id': 'model313', 'name': 'Intangible Asset Factors'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.6749,17,22,1.3,[],model313,Intangible Asset Factors,model,Model,model-estimates-models,Estimates Models
mdl313_mktcap_usd,Market capitalization of the company in US dollars as of the observation date,"{'id': 'model313', 'name': 'Intangible Asset Factors'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-estimates-models', 'name': 'Estimates Models'}",IND,1,TOP500,MATRIX,0.9507,0.6749,14,14,1.3,[],model313,Intangible Asset Factors,model,Model,model-estimates-models,Estimates Models
backfill_global_momentum_rank,Global peer-relative price momentum percentile rank (integer 1–100); higher = stronger momentum vs global peers,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9568,72,184,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_global_momentum_rank_float,Floating-point percentile (0–100) of global price momentum rank; higher = stronger momentum vs global peers,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9568,49,129,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_industry_momentum_score,Industry-relative price momentum percentile rank (integer 1–100) comparing the stock’s momentum to its TRBC industry peers; higher = stronger momentum vs industry,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9833,33,55,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_industry_momentum_score_float,Floating-point percentile (0–100) of industry-relative price momentum vs TRBC industry peers; higher = stronger industry-relative momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9833,31,40,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_long_term_momentum_score,Long-term (about 12 months) price momentum component as a percentile rank (integer 1–100); higher = stronger long-term momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.957,20,35,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_long_term_momentum_score_float,Floating-point percentile (0–100) for long-term (about 12 months) price momentum; higher = stronger long-term momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.957,20,35,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_mid_term_momentum_score,Mid-term (about 3–6 months) price momentum component as a percentile rank (integer 1–100); higher = stronger medium-term momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9831,23,33,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_mid_term_momentum_score_float,Floating-point percentile (0–100) for mid-term (about 3–6 months) price momentum; higher = stronger medium-term momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9831,16,27,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_regional_momentum_rank,Regional (Asia) peer-relative price momentum percentile rank (integer 1–100); higher = stronger momentum vs regional peers,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9568,43,75,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_regional_momentum_rank_float,Floating-point percentile (0–100) of regional (Asia) price momentum rank; higher = stronger momentum vs regional peers,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9568,20,26,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_short_term_momentum_score,"Short-term (about 1 week) price momentum component as a percentile rank (integer 1–100), adjusted for volatility/autocorrelation; higher = stronger short-term momentum","{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9834,70,215,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
backfill_short_term_momentum_score_float,Floating-point percentile (0–100) for short-term (about 1 week) price momentum; higher = stronger short-term momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9834,96,348,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
d1_global_momentum_rank_float,Float percentile value 0–100 ranking the stock’s price momentum versus global peers; higher indicates stronger momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,38,64,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
d1_industry_momentum_score_float,Float percentile (0–100) of industry-relative price momentum within the stock’s TRBC industry,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,26,33,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
d1_long_term_momentum_score_float,Float percentile (0–100) of long-term (~12 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9564,21,36,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
d1_mid_term_momentum_score_float,Float percentile (0–100) of mid-term (~3–6 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,21,26,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
d1_regional_momentum_rank_float,Float percentile value 0–100 ranking the stock’s price momentum versus regional peers in Asia; higher indicates stronger momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,23,35,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
d1_short_term_momentum_score_float,Float percentile (0–100) of short-term (~1 week) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,72,169,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
global_momentum_rank_float,Floating-point percentile value (0–100) of overall price momentum versus all global stocks,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,50,91,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
industry_momentum_score_float,Floating-point percentile value (0–100) of price momentum relative to TRBC industry peers,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,40,74,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
long_horizon_momentum_score_float,Floating-point percentile value (0–100) for long-term (~12 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9564,20,24,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
mid_horizon_momentum_score_float,Floating-point percentile value (0–100) for mid-term (~3–6 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,16,20,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
regional_momentum_rank_float,Float percentile value (0–100) of the stock’s price momentum relative to peers in the USA region; higher values indicate stronger momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,22,31,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
short_horizon_momentum_score_float,Floating-point percentile value (0–100) for short-term (~1 week) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,186,1154,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_global_rank,Percentile rank of overall price momentum versus all global stocks,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,35,44,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_global_rank_d1,Integer percentile rank 1–100 of the stock’s price momentum versus global peers; higher indicates stronger momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,29,69,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_industry,Percentile rank of price momentum relative to TRBC industry peers (industry-specific momentum),"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,19,22,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_industry_d1,Integer percentile rank (1–100) of industry-relative price momentum within the stock’s TRBC industry,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9827,19,41,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_longterm,Percentile rank of long-term (~12 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9564,20,22,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_longterm_d1,Integer percentile rank (1–100) of long-term (~12 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9564,15,18,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_midterm,Percentile rank of mid-term (~3–6 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,22,24,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_midterm_d1,Integer percentile rank (1–100) of mid-term (~3–6 months) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,17,19,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_region_rank,Integer percentile rank (1–100) of the stock’s price momentum relative to peers in the USA region; higher values indicate stronger momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,28,46,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_region_rank_d1,Integer percentile rank 1–100 of the stock’s price momentum versus regional peers in Asia; higher indicates stronger momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9561,29,70,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_shortterm,Percentile rank of short-term (~1 week) price momentum; higher values indicate stronger recent momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,74,127,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
star_pm_shortterm_d1,Integer percentile rank (1–100) of short-term (~1 week) price momentum,"{'id': 'model32', 'name': 'Price Momentum Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-nlp-models', 'name': 'NLP Models'}",IND,1,TOP500,MATRIX,0.9507,0.9828,55,75,1.3,[],model32,Price Momentum Model,model,Model,model-nlp-models,NLP Models
credit_risk_coverage_score_d1,"Numeric score for coverage factors (e.g., ability to cover interest/debt); higher indicates better coverage","{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9789,41,54,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_coverage_score_main,Float percentile score (0–100) for the coverage component; higher indicates better coverage and lower credit risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9789,18,29,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_growth_score_d1,Numeric score for growth-related factors affecting credit health; higher indicates stronger growth profile,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9757,20,25,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_growth_score_main,Float percentile score (0–100) for the growth and stability component; higher indicates better growth/stability and lower credit risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9757,11,14,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_leverage_score_d1,Percentile score reflecting leverage factors in credit risk assessment (daily version).,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,15,19,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_leverage_score_main,Float percentile score (0–100) for the leverage component; higher indicates better leverage profile and lower credit risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,11,14,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_liquidity_score_d1,Numeric score for liquidity-related factors; higher indicates stronger liquidity,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9801,9,10,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_liquidity_score_main,Float percentile score (0–100) for the liquidity component; higher indicates stronger liquidity and lower credit risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9801,10,11,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_profitability_score_d1,Numeric score for profitability-related factors; higher indicates better profitability,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,17,19,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
credit_risk_profitability_score_main,Float percentile score (0–100) for the profitability component; higher indicates stronger profitability and lower credit risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,20,21,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
creditworthiness_letter_rating_numeric_d1,Continuous implied rating score aligned to the letter-grade scale (not a PD%); higher indicates stronger credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,1,1,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
creditworthiness_letter_rating_numeric_main,Continuous numeric implied rating score aligned to the letter-grade scale (not a PD%); higher is safer,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,4,5,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_country_percentile_d1_2,Float percentile rank (0–100) of the company’s financial health within its country peer group; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,21,31,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_country_percentile_main,Float 0–100 percentile rank of the company’s 1-year default probability within its country; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,18,28,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_global_percentile_d1_2,Float percentile rank (0–100) of financial health globally; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,20,30,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_global_percentile_main,Float 0–100 global percentile rank of the company’s 1-year default probability; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,18,32,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_industry_percentile_d1_2,Float percentile rank (0–100) within the company’s industry; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9806,11,15,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_industry_percentile_main,Float 0–100 percentile rank of the company’s 1-year default probability within its region and industry; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9806,15,21,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_region_percentile_d1_2,Float percentile rank (0–100) of financial health within the region; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,30,42,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_region_percentile_main,Float 0–100 regional percentile rank of the company’s 1-year default probability; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,26,38,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_sector_percentile_d1_2,Float percentile rank (0–100) within the company’s sector; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9808,11,19,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
default_risk_sector_percentile_main,Float percentile rank (0–100) within the same region and sector by 1-year default probability; higher means safer,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9808,8,19,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_country_rank,Current 1–100 percentile rank by country of the company’s 1-year default probability; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,42,75,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_country_rank_d1,Percentile rank (1–100) within the company’s country of its 1‑year default probability; higher means lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,22,24,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_coverage,"Percentile rank reflecting only the coverage factors of the model; 100 best, 1 worst","{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9789,21,45,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_coverage_d1,Percentile rank (1–100) reflecting only the coverage factors; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9789,25,31,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_global_rank,Current global 1–100 percentile rank of the company’s 1-year default probability based on SmartRatios; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,32,52,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_global_rank_d1,Global percentile rank (1–100) of the company’s 1‑year default probability from SmartRatios; higher means lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,39,92,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_growth,"Percentile rank reflecting only the growth and stability factors of the model; 100 best, 1 worst","{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9757,28,37,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_growth_d1,Percentile rank (1–100) reflecting only the growth and stability factors; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9757,24,30,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_industr_rank,Current 1–100 percentile rank of the company’s 1-year default probability among firms in the same region and industry; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9806,19,20,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_industr_rank_d1,Percentile rank (1–100) within the same region and industry of the company’s 1‑year default probability; higher means lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9806,18,21,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_leverage,"Percentile rank reflecting only the leverage factors of the model; 100 best, 1 worst","{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,25,34,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_leverage_d1,Percentile rank (1–100) reflecting only the leverage factors; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,13,15,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_liquidity,"Percentile rank reflecting only the liquidity factors of the model; 100 best, 1 worst","{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9801,13,19,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_liquidity_d1,Percentile rank (1–100) reflecting only the liquidity factors; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9801,12,13,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_profitability,"Percentile rank reflecting only the profitability factors of the model; 100 best, 1 worst","{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,30,52,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_profitability_d1,Percentile rank (1–100) reflecting only the profitability factors in the SmartRatios Credit Risk Model; higher indicates better credit quality,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,27,34,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_region_rank,Current regional 1–100 percentile rank of the company’s 1-year default probability; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,17,40,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_region_rank_d1,Regional percentile rank (1–100) of the company’s 1‑year default probability; higher means lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9809,13,13,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_sector_rank,Current 1–100 percentile rank of the company’s 1-year default probability among firms in the same region and sector; higher values indicate lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9808,33,60,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
star_sr_sector_rank_d1,Percentile rank (1–100) within the same region and sector of the company’s 1‑year default probability; higher means lower default risk,"{'id': 'model36', 'name': 'SmartRatios Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.9507,0.9808,21,28,1.3,[],model36,SmartRatios Model,model,Model,model-risk-based-models,Risk Based Models
buyback_yield_relative_score,Percentile rank (1-100) of the stock’s valuation attractiveness based solely on its buyback yield,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9642,63,100,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
buyback_yield_relative_score_float,Percentile rank (floating-point) of buyback yield’s contribution to relative valuation within peer group,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9642,44,71,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
dividend_yield_relative_score,Global percentile rank (integer 1-100) of the stock for Dividend Yield component of the Relative Valuation model — higher value = better value on this measure,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8273,179,502,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
dividend_yield_relative_score_float,Percentile rank (floating-point) for dividend yield’s contribution to relative valuation within peer group,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8273,106,160,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
earnings_measure_type_float,"Indicator (floating-point) specifying the type of earnings measure used (e.g., EPS, FFO) in the intrinsic valuation","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,22,25,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
ev_ebitda_relative_score_float,Floating-point normalized score showing the contribution of the EV/EBITDA ratio to the relative valuation component,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8201,122,374,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
ev_ebitda_relative_score_main,Global percentile rank (integer 1-100) of the stock for the EV/EBITDA component in the Relative Valuation model — higher value means better value on this measure,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8201,88,142,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
ev_sales_relative_score,Percentile rank (1-100) of the stock’s valuation attractiveness based solely on its EV/Sales ratio,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.7944,91,153,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
ev_sales_relative_score_float,"Percentile rank (floating-point, global) for valuation based on EV/Sales component in the Relative Valuation Model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.7944,84,139,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
forward_10yr_eps_growth_rate,"Compound annual growth rate of EPS from last reported EPS to fiscal year 10, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.841,44,62,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
forward_5yr_eps_growth_rate,"Compound annual growth rate of EPS from last reported EPS to fiscal year 5, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.841,81,247,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
global_relative_valuation_rank_main,"Current global 1–100 percentile rank of the security’s valuation attractiveness in the Relative Valuation Model, combining all measures, with higher scores indicating better value","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,103,272,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
global_relative_valuation_score,"Current global percentile rank (floating-point) in the StarMine Relative Valuation Model, reflecting overall valuation attractiveness compared to all global peers","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,161,510,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
industry_rank_price_intrinsic_value,"A 1-100 percentile score ranking the stock’s price/intrinsic value ratio among stocks in its industry within the same region, higher scores indicating greater undervaluation","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.7803,64,94,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
industry_rank_price_to_intrinsic_value,Percentile rank (floating-point) of a stock’s price-to-intrinsic value ratio within its industry; higher scores suggest more undervaluation,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.7803,42,61,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
industry_relative_valuation_rank_main,"Industry percentile rank (1-100) of the stock's valuation attractiveness within its industry, higher is better","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9818,76,144,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
industry_relative_valuation_score,Floating-point percentile rank of the stock in the relative valuation model within its industry; higher scores signal more attractive valuation,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9818,78,121,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
intrinsic_value_in_currency,"Intrinsic value of the security (fair value estimate) calculated by StarMine, expressed in the chosen projection currency","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,32,42,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
justified_forward_pe_ratio_2,"Forward 12-month P/E ratio warranted by the intrinsic valuation model, calculated as intrinsic value divided by year-ahead EPS projection","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.841,88,272,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
long_term_assumed_annual_dividends,Year in which the company is projected to reach steady state dividend payout,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,28,43,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
long_term_assumed_annual_earnings_main,Year in which the company is projected to reach steady state earnings growth,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,26,38,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
long_term_dividend_payout_ratio_2,Dividend payout rate the company is projected to maintain at steady state in future years,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,14,25,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
long_term_earnings_growth_rate_2,Earnings growth rate the company is projected to maintain at steady state in future years,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,28,50,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
market_implied_10yr_eps_growth,Market-implied compound annual growth rate of earnings per share over the next 10 years based on current market price,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8384,72,93,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
market_implied_5yr_eps_growth,Forward 5-year compound annual growth rate (CAGR) of EPS implied by the market price (adjusted EPS over FY1-FY5 so the calculated intrinsic value matches current market price),"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8384,52,82,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
model_discount_rate,Discount rate used by the StarMine Intrinsic Valuation model when discounting future cash flows (primarily dividends),"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,17,22,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
pb_ratio_relative_score,Contribution of price-to-book ratio to the overall relative valuation attractiveness score,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.983,56,97,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
pb_ratio_relative_score_float,Floating-point percentile rank for the Price/Book ratio component in the relative valuation model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.983,56,105,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
pcf_ratio_relative_score,Percentile rank (1-100) of the stock’s valuation attractiveness based solely on its price-to-cash-flow (P/CF) ratio,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.7932,50,66,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
pcf_ratio_relative_score_float,"Percentile score (floating-point) for Price/Cash Flow ratio, measuring valuation attractiveness globally in StarMine’s model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.7932,38,53,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
pe_ratio_relative_score_float,"Percentile score (floating-point) for Price/Earnings ratio, measuring valuation attractiveness globally in StarMine’s model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.983,158,418,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
pe_ratio_relative_score_main,Percentile rank (1-100) of the stock’s valuation attractiveness based solely on its price-to-earnings (P/E) ratio,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.983,183,484,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
price_to_intrinsic_value_ratio,Ratio of current market price to model-estimated intrinsic value; values below 1 indicate possible undervaluation,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8396,129,299,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy10_2,"Estimate of dividends per share (DPS) for fiscal year 10, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,22,35,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy11_2,Estimated dividends per share (DPS) for fiscal year 11 according to the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,21,33,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy12_2,Dividend per share estimate for fiscal year 12 from the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,22,25,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy13_2,Dividend per share estimate for fiscal year 13 from the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,21,34,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy14_2,"Estimate of dividends per share (DPS) for fiscal year 14, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,27,50,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy15_2,Estimated dividends per share (DPS) for fiscal year 15 projected by the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,17,22,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy1_2,"Estimate of dividends per share (DPS) for fiscal year 1, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9857,77,113,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy2_2,"Estimate of dividends per share (DPS) for fiscal year 2, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,23,44,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy3_2,"Estimate of dividends per share (DPS) for fiscal year 3, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,39,55,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy4_2,StarMine SmartGrowth model’s estimated dividends per share (DPS) for fiscal year 4 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,22,32,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy5_2,"Estimate of dividends per share (DPS) for fiscal year 5, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,24,34,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy6_2,Estimated dividends per share for fiscal year 6 based on the intrinsic valuation model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,40,60,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy7_2,Dividend per share estimate for fiscal year 7 from the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,40,52,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy8_2,"Estimate of dividends per share (DPS) for fiscal year 8, projected by StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,34,57,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_dividends_fy9_2,Dividend per share estimate for fiscal year 9 from the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,26,36,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy10_2,StarMine SmartGrowth model’s estimated earnings per share (EPS) for fiscal year 10 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,15,27,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy11_2,"Projected EPS estimate for fiscal year 11 for the company, based on the StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,25,35,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy12_2,Fiscal year 12 EPS estimate from the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,14,23,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy13_2,StarMine SmartGrowth model’s estimated earnings per share (EPS) for fiscal year 13 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,20,43,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy14_2,Projected earnings per share (EPS) for fiscal year 14 from StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,21,38,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy15_2,StarMine SmartGrowth model’s estimated earnings per share (EPS) for fiscal year 15 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,23,42,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy1_2,StarMine SmartGrowth model’s estimated earnings per share (EPS) for fiscal year 1 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,72,117,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy2_2,StarMine SmartGrowth model’s estimated earnings per share (EPS) for fiscal year 2 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,31,55,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy3_2,StarMine SmartGrowth model’s estimated earnings per share (EPS) for fiscal year 3 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,31,45,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy4_2,Projected earnings per share (EPS) for fiscal year 4 from StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,27,41,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy5_2,StarMine SmartGrowth model’s estimated earnings per share (EPS) for fiscal year 5 for the security,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,29,46,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy6_2,"Projected EPS estimate for fiscal year 6 for the company, based on the StarMine SmartGrowth model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,32,58,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy7_2,Estimated EPS for fiscal year 7 projected by the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,17,39,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy8_2,"Projected adjusted earnings for fiscal year 8, based on analyst estimates and StarMine modeling","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,22,35,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
projected_earnings_fy9_2,Estimated EPS for fiscal year 9 projected by the StarMine SmartGrowth model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8411,16,23,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
region_rank_price_intrinsic_value,"A 1-100 percentile score ranking the stock’s price/intrinsic value ratio relative to all stocks in its region, where a lower ratio (cheaper stock) results in a higher rank","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8396,63,123,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
region_rank_price_to_intrinsic_value_float,Floating-point percentile rank of price/intrinsic value within the region,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8396,74,136,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
region_relative_valuation_score,"Percentile rank (1-100) for valuation attractiveness within the given region, reflecting how the stock compares to peers according to the Relative Valuation Model","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,74,171,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
region_relative_valuation_score_float,Floating-point regional percentile rank of the stock in the Relative Valuation Model,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9825,88,228,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
sector_rank_price_intrinsic_value,"A 1-100 percentile score ranking the stock’s price/intrinsic value ratio relative to all stocks in its sector within the same region, higher scores indicating greater undervaluation","{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8394,87,316,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
sector_rank_price_to_intrinsic_value_float,Floating-point version of the sector-relative percentile ranking for price/intrinsic value,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.8394,108,387,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
sector_relative_valuation_rank_main,Current 1–100 percentile rank of the stock in its sector within the overall Relative Valuation Model; higher scores mean the stock is viewed as better value in its sector,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9822,112,368,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
sector_relative_valuation_score_float,Floating-point version of the sector-relative percentile rank for valuation attractiveness,"{'id': 'model38', 'name': 'Growth Valuation Model'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9822,186,644,1.3,[],model38,Growth Valuation Model,model,Model,model-valuation-models,Valuation Models
global_price_momentum_percentile_2,The current global 1-100 percentile rank of the security based on the Price Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9568,310,1455,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
global_value_momentum_rank,The current global 1-100 percentile rank of the security based on the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.976,861,8858,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
global_value_momentum_rank_float,Float (non-integer) value of the global 1-100 percentile rank for the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.976,709,6506,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
industry_price_momentum_score_2,A percentile rank reflecting only the industry aspect of the Price Momentum Model; scores of 100 indicate the highest rated stocks and 1 the lowest,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9833,257,1239,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
industry_value_momentum_rank,The current industry 1-100 percentile rank of the security based on the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9756,703,5405,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
industry_value_momentum_rank_float,Float (non-integer) value of the industry 1-100 percentile rank for the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9756,803,8105,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
long_term_price_momentum_score_2,A percentile rank reflecting only the long term aspect of the Price Momentum Model; scores of 100 indicate the highest rated stocks and 1 the lowest,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.957,255,1305,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
mid_term_price_momentum_score_2,A percentile rank reflecting only the mid term aspect of the Price Momentum Model; scores of 100 indicate the highest rated stocks and 1 the lowest,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9831,216,1180,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
region_value_momentum_rank,The current regional 1-100 percentile rank of the security based on the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.976,544,3800,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
region_value_momentum_rank_float,Float (non-integer) value of the regional 1-100 percentile rank for the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.976,560,6032,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
regional_price_momentum_percentile_2,The current regional 1-100 percentile rank of the security based on the Price Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9568,255,1223,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
sector_value_momentum_rank,The current sector 1-100 percentile rank of the security based on the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.976,1092,16263,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
sector_value_momentum_rank_float,Float (non-integer) value of the sector 1-100 percentile rank for the Value-Momentum Model,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.976,924,11932,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
short_term_price_momentum_score_2,A percentile rank reflecting only the short term aspect of the Price Momentum Model; scores of 100 indicate the highest rated stocks and 1 the lowest,"{'id': 'model39', 'name': 'Valuation Momentum Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-valuation-models', 'name': 'Valuation Models'}",IND,1,TOP500,MATRIX,0.9507,0.9834,555,4543,1.3,[],model39,Valuation Momentum Data,model,Model,model-valuation-models,Valuation Models
aggregate_downside_risk_score_2,Composite downside-risk score indicating likelihood of underperforming over the next 3–24 months,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,23,28,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
analyst_count_fy1_forecasts,Number of analysts providing fiscal year 1 earnings forecasts,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6674,21,24,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
analyst_forecast_revision_score_3,Indicator of analyst estimate revisions momentum,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6054,13,14,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
avg_daily_volume,Average daily trading volume in shares,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6956,18,38,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
beta_relative_to_country,Market beta relative to the stock’s country benchmark,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6956,7,9,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
beta_vs_global_ex_us,Stock’s beta relative to the MSCI ACWI ex-US index,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6956,11,16,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
capital_investment_score,"Capital investment metric (e.g., investment rate or capex intensity)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6435,19,25,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
closing_share_price,Current share price,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6956,11,14,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_analyst_forecast_revision_score,Country-normalized indicator of analyst estimate revisions momentum for the stock,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6054,8,8,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_capital_investment_score,Country-normalized capital investment measure for the company,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6435,8,8,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_earnings_quality_score,Country-normalized earnings quality measure,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6456,6,7,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_earnings_valuation_score,Country-normalized earnings-based valuation measure,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6103,12,12,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_external_financing_score,Country-normalized external financing indicator,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,8,8,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_financial_leverage_score,Leverage ratio normalized within country,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,7,9,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_forecast_dispersion_score,Country-normalized measure of analyst estimate uncertainty/dispersion,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6273,9,9,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_free_cash_flow_yield_score,Country-normalized free cash flow valuation metric,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6436,8,8,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_fundamental_growth_score,"Fundamental growth measure (e.g., EPS or dividend growth) normalized within country (country-neutralized)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.5233,7,7,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_fundamental_stability_score,Country-normalized fundamental stability indicator,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.4882,3,3,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_operating_income_yield_score,Country-normalized enterprise value-based valuation metric,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6488,18,32,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_price_momentum_score,Country-normalized stock price momentum measure,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6071,9,9,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_price_volatility_score,Country-normalized rank of the stock’s realized price volatility,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6498,6,6,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_profitability_consistency_score,Profitability consistency measure normalized within country,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.339,6,6,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_profitability_level_score,Profitability measure normalized within country,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6453,7,7,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
country_shareholder_yield_score,Country-normalized shareholder yield (dividends and buybacks minus issuance),"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6413,6,6,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
debt_equity_ratio_2,Debt-to-equity ratio,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6949,9,9,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
dividend_yield_forecast,Forward dividend yield provided as a continuous float,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6956,9,17,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
earnings_quality_score,"Earnings quality indicator (e.g., accruals/quality diagnostics)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6456,13,19,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
earnings_valuation_score,"Earnings-based valuation factor (e.g., earnings yield), indicating how cheap or expensive the stock is","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6103,9,10,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
external_financing_score,External financing indicator measuring reliance on net equity or debt issuance,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,8,8,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
financial_leverage_score_2,"Financial leverage measure (e.g., debt burden)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,9,11,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
five_year_eps_growth_forecast,Forecasted EPS growth over the next five years for the company,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.4093,6,6,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
forecast_dispersion_score,Measure of dispersion or uncertainty in analysts’ estimates for the stock,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6273,6,6,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
free_cash_flow_yield_score,"Free cash flow valuation metric (e.g., FCF yield)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6436,14,17,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
fundamental_growth_score_3,"Fundamental growth metric (e.g., EPS or dividend growth)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.5233,9,11,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
fundamental_stability_score,"Fundamental stability measure (variability of revenues, earnings, or cash flows)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.4882,3,3,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
latest_quarterly_eps_surprise,Most recent quarterly EPS surprise,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.4893,12,14,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
mdl50_bk_adr_ticker,American Depositary Receipt ticker symbol for the stock,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6532,20,21,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
mdl50_bk_debt_to_equity,Debt-to-equity ratio,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6975,17,20,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
mdl50_bk_eps_growth_f_5year,Analyst forecast for EPS growth over the next five years,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.4128,11,23,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
mdl50_bk_exchange_country,Country of the exchange where the security is listed,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6532,9,48,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
mdl50_bk_msci_eafe_member,"Flag indicating MSCI EAFE index membership (1=member, 0=non-member)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6982,11,14,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
mdl50_bk_recent_eps_sur,Most recent quarterly EPS surprise versus consensus (reported minus expected),"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.4925,31,39,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
operating_income_yield_score,"Enterprise value–based valuation metric (e.g., EV ratios)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6488,17,23,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
price_momentum_score,Stock price momentum score (range typically -5 to 5),"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6071,17,20,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
price_volatility_metric,Continuous measure of the stock’s realized price volatility,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6956,8,9,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
price_volatility_score,Ranked measure of the stock’s realized price volatility,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6498,14,14,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
profitability_consistency_score,Measure of profitability consistency/persistence across time,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.339,2,2,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
profitability_level_score,"Composite profitability metric (e.g., margins or return measures) used in the risk model","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6453,11,15,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
risk_decile_country_rank,"Decile rank of the downside-risk score within the country (1=lowest, 10=highest)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,19,21,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
risk_decile_sector_rank,"Decile rank of the downside-risk score within the company’s sector (1=lowest, 10=highest)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,13,23,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
risk_decile_universe_rank,"Decile rank of overall downside risk across all covered stocks, 1=lowest and 10=highest risk","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6481,15,19,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
risk_score_change_13w,Change in the downside-risk score over the past 13 weeks,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6696,28,51,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
risk_score_change_1w,Change in the downside-risk score over the past 1 week,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6906,14,21,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
roe_ratio,Return on equity (ROE),"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.5844,6,6,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
shareholder_yield_score,"Shareholder yield (net payout to shareholders, e.g., dividends plus buybacks minus issuance)","{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,1.0,0.6413,7,7,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
six_month_price_change,Stock price change over the past six months,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6944,6,7,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
total_market_capitalization,Total market capitalization of the company,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6956,7,11,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
trailing_pe_ratio_forecast,Forecasted trailing price-to-earnings ratio.,"{'id': 'model50', 'name': 'International Scorings Data'}","{'id': 'model', 'name': 'Model'}","{'id': 'model-risk-based-models', 'name': 'Risk Based Models'}",IND,1,TOP500,MATRIX,0.6243,0.6953,3,3,1.3,[],model50,International Scorings Data,model,Model,model-risk-based-models,Risk Based Models
average_trading_volume_preceding_6m_india,Average Trading Volume in Preceding 6-month,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8381,200,902,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
board_compensation_policy_score,Board composition score (Corporate Governance - structure and makeup of company's board),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
board_functionality_score,"Board functioning score (Corporate Governance - effectiveness, independence, and quality of board operation)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,4,5,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
board_structure_governance_score,"Board structure score (Corporate Governance - structure, organization, committees of the board)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,4,4,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
book_leverage_ratio_india,Book leverage: most recent total assets divided by book equity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8384,179,796,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
capex_to_depreciation_linkage_asia,Capital Expenditures to Depreciation Linkage,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9051,60,81,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
composite_score_qsg_india,QSG India Model,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8402,392,3235,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
core_earnings_to_price_ratio_2,"It is defined as the trailing 12-month earnings per share from operations for a stock deflated by its trading price. This item excludes cumulative effect of accounting change, discounted operations, extraordinary items and special items","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9545,226,1112,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
corporate_governance_score,Asset4 ESG Corporate Governance overall rating,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,5,5,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
customer_product_responsibility_score,"Customer and product responsibility score (Social/ESG - quality, safety, and customer protection)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,2,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
distress_metric_asia,Distress Measure,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8243,134,605,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
dividends_to_gross_profit_2,Total dividends paid divided by gross profit (revenue minus cost of goods sold).,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8304,22,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
earnings_shortfall_vs_free_cashflow,Earnings Shortfall,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9543,155,778,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
earnings_torpedo_metric,Next four quarter EPS estimate plus trailing 12-month real earnings surprise divided by trailing EPS.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8236,34,41,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
economic_market_performance_score,Market performance and penetration score (Economic dimension - company’s competitive market position),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
economic_product_sustainability_score,Product/service labeling score (Economic dimension - quality and transparency in product/service labeling),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
economic_resource_circularity_score,Regional economic cluster score (Economic dimension - assessment of company’s position in economic clusters),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
economic_score_asset4,Economic Rating score,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,2,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
environmental_emissions_reduction_score,Emission reduction efforts score (ESG theme - company actions to reduce environmental emissions),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,3,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
environmental_policy_initiative_score,Environmental policy initiatives score (ESG theme - company efforts/strategy towards environmental policy and innovation),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,2,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
environmental_resource_reduction_score,Environmental reporting quality score (ESG - resource reduction and reporting standards),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,2,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
environmental_score_asset4,Overall environmental score (ESG theme - environmental performance and practices),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,2,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
five_year_eps_stability_2,Standard deviation of last five years’ trailing twelve-month EPS divided by their mean.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9137,29,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
fixed_cash_ratio,"Cash and equivalents divided by current liabilities, using a fixed calculation method.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7998,19,23,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
forward_book_value_to_price_2,Forward-looking book value per share divided by close price.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8723,16,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
forward_cash_flow_to_price_2,Forward-looking cash flows per share divided by stock price.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6125,17,33,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
forward_ebitda_to_enterprise_value_3,Forward-looking EBITDA divided by enterprise value.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8349,129,533,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
forward_sales_to_price_2,Forward-looking sales per share divided by trading price.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8806,17,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
forward_two_year_eps_growth_asia,2-Year Projected EPS Growth,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7828,37,45,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
governance_integrity_vision_score,"Investor voting structure score (Corporate Governance - transparency, fairness of shareholder voting rights/process)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
gross_profit_margin_ttm_3,"Gross profit margin over the trailing twelve months, calculated as gross profit divided by sales.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8439,17,33,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
gross_profit_to_assets_ratio_2,Trailing 12-month gross profit to assets ratio.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8431,11,17,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
industry_rel_ttm_sales_to_ev_asia,Industry-relative TTM Sales to Enterprise Value,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9578,207,1213,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
inventory_change_avg_assets_asia,Change in Inventory to Average Assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8767,20,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
investor_relations_score_asset4,Investor relations communication score (quality and frequency of company-to-investor communication),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
management_quality_score_india,Mgmt. Quality- QSG India,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8402,152,525,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_aci,Abnormal capital investment,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9277,208,821,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_acp,Average Collection Period; average of trailing 12-month accounts receivable times 365 divided by trailing 12-month sales,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8892,198,1611,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_acqmul,Acquisition Multiple: It is defined as the most recent quarterly reported invested capital divided by the trailing 12-month EBITDA.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9399,142,492,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn12m,"Twelve-month active return with one-month lag, price change from month t-13 to t-1","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9284,185,1349,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn18m,"18-Month Active Return with 1-Month Lag, percent price change from month t-19 to t-1","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9089,45,61,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn1m,"1-Month Active Return, percent price change from t-1 to t","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9708,47,100,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn24m,24-month active return with 1-month lag; percent price change from month t-25 to t-1,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8941,32,49,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn2m,2-month active return; percent price change from month t-2 to t,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9708,139,666,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn36m,36-month active return,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8654,42,68,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn3m,"Three-month active return, percent change in stock price from month t-3 to t","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.971,152,1084,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn60m,"60-Month Active Return with 1-Month Lag, percent price change from month t-61 to t-1","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8157,41,60,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn6m,Six-month active return; percent change in stock price over the last six months,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9523,23,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_actrtn9m,9-month active return with 1-month lag; percent price change from month t-10 to t-1,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.94,20,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_alpha60m,60-Month Alpha: It is defined as the intercept of the regression line which best fits a stock's monthly price return against the S&P 500 index monthly return over last 60-month period.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8181,26,36,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_app,Average Payable Period; average of trailing 12-month accounts payable times 365 divided by trailing 12-month cost of goods sold,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7916,32,48,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_aqi,Asset Quality Index,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7929,34,45,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_aspanratio,"Attention Span Ratio: quarterly operating assets minus operating liabilities, deflated by total assets","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8862,31,38,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_astcomp,Most recent quarter current assets divided by most recent quarter total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.798,34,53,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_astto,Assets turnover ratio; trailing 12-month sales divided by most recent quarterly assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9678,44,73,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_bdi,Baltic Dry Index (shipping and freight activity index),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.5046,2,2,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_beta,Beta coefficient indicating market sensitivity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8605,23,32,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_betasigma,Product of adjusted 60-month beta and 60-month sigma (standard deviation of monthly returns),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8177,13,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_booklev,Book leverage ratio: total assets divided by book equity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9686,134,683,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_bp,Book value to price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9682,22,28,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_capacq,Capital acquisition ratio (management quality measure),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9604,26,40,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_capexast,Trailing 12-month capital expenditures divided by total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9626,30,40,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_capexsale,Trailing 12-month capital expenditures-to-sales,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9629,27,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cashburnrate,Rate at which the company burns cash; lower indicates better long-term cash generation,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8882,43,59,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cashc,Cash Conversion Cycle; inventory days plus collection days minus payable days,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.79,23,57,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cashp,Cash-to-Price; most recent cash and equivalents per share divided by trading price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8906,22,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cashratio,"Cash ratio, cash divided by current liabilities","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7998,22,24,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cashsale,"Cash-to-sales ratio, average cash and equivalents over TTM divided by TTM sales","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8893,169,1030,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cashsev,Cash to Enterprise Value; total cash and equivalents divided by enterprise value,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8908,25,39,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ccd,Current cash flow debt coverage ratio; cash flow from operations minus dividends divided by interest-bearing debt,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9007,24,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cfita,Trailing 12-month cash flow from investing divided by average total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9658,32,54,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cfleverage,Cash flow leverage; total liabilities divided by trailing 12-month operating cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8263,27,29,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cfroi,Cash Flow Return on Invested Capital; TTM cash flow divided by average invested capital,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9658,23,50,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cg3ysales,3-year compound annual sales growth; geometric growth rate of sales per share over the last 12 quarters,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9504,32,44,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3ycfast,Three-year change in cash flow-to-assets ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9516,29,53,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3ycfp,"Three-year change in price-adjusted trailing 12-month cash flow per share, divided by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9516,33,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3yepsast,"3-year change in assets-adjusted trailing twelve-month EPS, EPS before extraordinary items minus value 12 quarters ago scaled by assets","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.953,109,905,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3yepsp,"Three-year change in price-adjusted trailing 12-month EPS (current EPS minus EPS 12 quarters ago, divided by price)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9531,38,64,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3yfcfast,"3-year change in assets-adjusted TTM free cash flow (current TTM FCF minus 12 quarters ago, scaled by assets)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9495,28,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3yfcfp,3-year change in price-adjusted trailing 12-month free cash flow; FCF minus that of 12 quarters ago divided by price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9494,25,29,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3yocfast,Three-year change in TTM operating cash flow scaled by average total assets (current minus 12-quarters ago),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9514,28,42,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg3yocfp,The difference between the trailing 12-month operating cash flow per share and that of 12 quarters ago for a stock divided by its trading price.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9509,23,38,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg6malpha18m,"6-Month Nominal Change in 18-Month Alpha: It is defined as the 6-month change in a stock's 18-month alpha, which equals the intercept from the regression of a stock price's monthly return against the S&P 500 index monthly return over the last 18-month period.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.896,31,46,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chg6mltg,6-month percent change in long-term growth estimates,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.5459,32,36,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgalpha12m,Six-month nominal change in 12-month alpha (regression intercept over the past 12 months),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9122,28,60,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgalpha36m,6-month nominal change in 36-month alpha; change in the regression intercept of the stock’s monthly returns against a market index over the past 36 months,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8554,26,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgars,1-year change in accounts receivable as a percentage of sales,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8857,24,37,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgcf,One-year change in trailing twelve-month cash flow scaled by assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9648,17,21,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgcfp,1-year change in price-adjusted trailing 12-month cash flow; difference in cash flow per share over the last year divided by price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9639,24,41,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgeps,Change in earnings per share,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9654,16,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgepsp,1-year change in price-adjusted TTM EPS; EPS difference over last year divided by price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9666,33,64,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgfcf,Change in free cash flow (historical growth),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9601,19,24,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgfcfp,One-year change in price-adjusted trailing 12-month free cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.962,17,24,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgis,Year-over-year change in quarterly inventory as a percent of sales (inventory-to-sales ratio),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8843,25,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgnoa,Year-over-year change in net operating assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8887,26,41,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgnpm,Change in net profit margin,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.965,33,53,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgocf,One-year change in assets-adjusted trailing 12-month operating cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9638,19,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgocfp,1-year change in price-adjusted TTM operating cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9632,15,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgollev,Change in operating liability leverage over the last four quarters,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9548,30,37,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgopm,One-year change in operating profit margin over the last four quarters,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9553,30,64,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgreccast,Year-over-year change in accounts receivable to current assets ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7941,26,40,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgsgasale,Change in quarterly SG&A expenses versus sales; difference in SG&A-to-sales ratios,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.515,3,3,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgshare,Change in shares outstanding,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9541,33,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_chgvolpre4y,4-year change in the average trading volume; change in 6-month moving average of monthly turnover over 4 years,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.818,29,39,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cogsinvt,Change in TTM COGS vs. Inventory Level; absolute difference between yearly percent change in cost of goods sold and inventory level,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7763,21,40,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_covol,"60-Month trading volume trend, slope of regression over the last 60 months","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8495,22,24,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindbp_,Industry-relative book-to-market ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9663,23,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindcfp_,Industry-relative trailing 12-month cash flow-to-price; stock’s TTM cash flow-to-price compared to industry,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9665,17,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curinddivp_,"Industry relative trailing 12-month dividend yield, deflated by industry standard deviation","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9504,27,44,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindebitdap_,"Industry-relative trailing 12-month EBITDA-to-price ratio minus industry average, deflated by industry standard deviation","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9644,35,57,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindep_,Industry-relative TTM EPS-to-price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9661,123,551,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindfcfp_,Industry-relative trailing 12-month free cash flow-to-price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9638,28,56,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindocfp_,Industry-relative trailing 12-month operating cash flow-to-price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9642,21,42,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindocfta_,Industry-relative TTM Operating Cash Flow-to-Total Assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9641,16,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curindsp_,Industry relative trailing 12-month sales-to-price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9661,23,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_curratio,"Current ratio, current assets divided by current liabilities","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.798,27,56,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cvpre90dp,CV of Prior 90-Day Closing Prices: It is defined as the standard deviation of a stock's last 90 days closing prices divided by the mean of these prices.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9663,31,128,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_cvvolp20d,20-Day Volume Volatility to Price Volatility: It is defined as the coefficient of variation of the last 20 days of closing prices divided by the coefficient of variation of daily trading volume for the same time period.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9688,28,94,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_de,Long-term debt-to-equity ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9679,37,56,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_debtcf,Long-term debt to cash flow (long- and short-term interest-bearing debt divided by trailing 12-month cash flow),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8275,146,517,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_dfl,Financial leverage; sum of pretax income and interest expense over pretax income,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9585,53,92,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_div5yg,5-year dividend growth rate,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7399,29,48,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_divcf,"Dividends-to-cash flow ratio, trailing 12-month dividends divided by cash flow","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7115,30,41,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_divcov,Dividend coverage ratio (TTM operating earnings divided by dividends),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7585,25,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_divyield,Dividend yield,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9522,167,2138,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_dpcapex,Absolute difference between percent change in TTM depreciation and percent change in capital expenditures,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9401,26,39,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ebitdaev,Trailing 12-month EBITDA-to-enterprise value ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9653,109,550,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ebitdap,"TTM EBITDA-to-Price: It is defined as the trailing 12-month earnings before interest, taxes, depreciation and amortization for a company divided by its month-end trading price.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9655,30,69,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_epschgetr,EPS from Change in Effective Tax Rate: It is defined as the trailing 12-month pre-tax income per share times the difference between most recent trailing 12-month effective tax rate and that of 4 quarters ago. The effective tax rate is defined as total tax expense divided by pre-tax income.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9261,26,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_equityto,"Equity Turnover Ratio, sales divided by average book equity","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9678,40,87,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_curindfwdep_,"Industry relative leading 4-quarters EPS-to-price ratio, compared to industry average and deflated by industry standard deviation","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9187,23,29,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_cvfy1eps,Dispersion of next fiscal year EPS estimates (coefficient of variation),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7222,30,44,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_cvfy2eps,FY2 EPS forecast dispersion: standard deviation divided by mean,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.72,26,37,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_dypeg,Reciprocal of the dividend yield-adjusted PEG ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6225,28,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_ebop,Edwards-Bell-Ohlson value-to-price; EBO model valuation divided by market price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8218,31,38,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_egp,"Inverse of PEG ratio; next 4-quarter earnings estimate times long-term growth rate, scaled by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6327,118,477,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_epsrm,"Street revision magnitude: 3-month change in median FY1 earnings estimate, scaled","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8812,53,69,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_estep,Leading 12-month median earnings yield,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9199,132,566,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_f12mepssev,Forward 12-month EPS-to-Enterprise Value ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9192,242,1759,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_fcfp,"Forward free cash flow-to-price; next 4-quarter mean earnings estimate plus depreciation minus capex, scaled by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.915,193,1493,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_fcfroey1p,"Product of TTM free cash flow yield and forward ROE; TTM FCF per share times next 4-quarter earnings forecast divided by most recent book value per share, scaled by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9114,26,50,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_fwdep,"Leading 12-Month Mean Earnings Yield, next 4-quarter mean earnings estimate divided by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.92,109,499,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_fwdroe,Forward Return on Equity; next 4-quarter earnings estimate divided by recent common equity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9094,28,41,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_hlep,"Street revision confidence: sum of 3-month high and low FY1 estimate changes, scaled","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9035,32,53,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_numest,Number of analyst estimates covering fiscal year 1,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.92,18,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_numrevy1,Net number of revisions for FY1; weighted average of analyst forecast increases minus decreases in FY1,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.916,169,1682,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_pdy,Predicted dividend yield,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.5629,21,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_rel5yfwdep,"5-year relative leading 12-month earnings yield vs 60-month average, scaled","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8245,26,46,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_rev3y1,Three-month revision in next fiscal year (FY1) EPS forecasts,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9106,33,79,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_rev3y2,"Three-month revision in FY2 EPS forecasts; change in FY2 earnings forecast versus three months ago, scaled by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9076,30,47,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_rev6,Six-month revision in consensus EPS estimates,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.903,18,24,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_stdevfy1epsp,Standard deviation of FY1 EPS estimates scaled by price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8,29,38,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_stdevfy2epsp,Standard deviation of FY2 EPS estimates scaled by price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7961,166,683,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fc_y2aepsg,"2-Year Ahead EPS Growth: It is defined as the most recent consensus earnings forecast for fiscal year 2 minus the consensus earnings forecast for fiscal year 1, divided by trading price.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9194,37,50,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fcfequity,Trailing twelve-month free cash flow to equity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9587,19,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fcfroi,Free Cash Flow Return on Investment,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9627,21,33,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fcfsale,Free cash flow to sales ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9646,20,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ff10mrtn,Fama-French Momentum: It is defined as the percent change in a stock's price from month t-12 to month t-2.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.932,29,56,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_fixastto,Fixed Assets Turnover; TTM sales divided by total fixed assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9675,28,52,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_flowratio,"Flow Ratio, current assets minus cash and equivalents divided by current liabilities minus short-term debt","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7975,24,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_gear,"Capital gearing ratio, long-term debt divided by (total assets minus current liability)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9667,22,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_globalemgasiashortsentimentfactor_inv_conc,"Inventory value concentration in the securities lending market, measuring how lendable shares’ value is concentrated among lenders for the stock","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3669,108,344,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_globalemgasiashortsentimentfactor_lend_supply,Lending supply: total quantity of shares available to lend,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3669,4,4,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_high52w,52-week high ratio; month-end price divided by highest monthly closing price in past 12 months,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9706,188,1660,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_indrelcroe_,"Industry-adjusted quarterly return on equity: stock’s lagged quarterly ROE minus industry average, scaled by the industry standard deviation","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9531,22,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_indrelrecd_,Industry-adjusted Doubtful Account Receivables: It is defined as a stock's asset-adjusted annual doubtful receivables minus the average of the receivables of all stocks in the same industry deflated by the standard deviation of these receivables.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6984,14,16,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_indrelrtn4w_,"Four-week industry-relative return, stock’s 4-week return minus industry average, deflated by industry standard deviation","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9685,14,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_indrelrtn5d_,"Five-day industry-relative return, stock’s 5-day return minus industry average, deflated by industry standard deviation","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9683,253,2788,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_intcov,Interest Coverage,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9405,26,55,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_invast,Inventory-to-total assets ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.89,20,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_invto,Inventory Turnover Ratio: It is defined as the trailing 12-month cost of goods sold divided by the average of inventory in the same period.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7856,11,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_lagegp,"Lagged Inverse of PEG Ratio: It is defined as the trailing 12-month earnings per share before extraordinary items times the change in yearly trailing 12-month sales per share growth rate, divided by trading price.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.965,32,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_liqcoeff,Liquidity Coefficient: It is the slope of the regression between the monthly stock trading turnover ratio (X) and the contemporary monthly stock price returns (Y).,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9132,23,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ltg,Long-term growth rate forecast from I/B/E/S,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6369,25,33,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_milliq,Stock Illiquidity: It is defined as the monthly average of the daily absolute return to the daily dollar trading volume ratio.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9708,47,95,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_mktcappera,Market capitalization per covering analyst,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9206,241,3470,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_mktlev,Stock's total market value plus the most recent reported quarterly book debt then divided by the market value.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9675,31,55,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_navp,Net Asset Value price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9682,24,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ncfeps,Change in TTM EPS vs. Oper Cash Flows: It is defined as the absolute value of the difference between the yearly percent change in trailing 12-month operating cash flow per share and the yearly percent change in trailing 12-month diluted EPS before extraordinary items.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7928,28,37,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_netcashp,Net Cash to Equity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8878,37,73,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_netdebt,"Net debt, total debt minus cash and cash equivalents","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9673,27,65,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nfaldebt,Net fixed assets to long-term debt ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8871,25,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_niper,Net income per employee,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8984,24,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nlassets,Natural logarithm of total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.968,30,39,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nlmktcap,Natural logarithm of market capitalization,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9708,14,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nlprice,Natural logarithm of closing price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9708,20,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nlsales,Natural logarithm of trailing 12-month sales,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9671,21,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nlvolcap,Net monthly liquidity volatility based on market-cap-weighted liquidity and risk,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9535,21,33,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nnastp,Net Current Assets-to-Price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7979,155,755,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_noato,Net operating asset turnover,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9678,14,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_nopatmargin,Net Operating Profit After Tax margin,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9443,27,59,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_npm,Net profit margin,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9672,29,50,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ocfast,Operating cash flow to total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9659,19,29,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ocfmargin,Operating cash flow profit margin,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.965,14,37,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ocfratio,Operating Cash Flow Ratio: It is defined as a stock's most recently reported quarterly cash flow from operations divided by its current liabilities.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7968,13,19,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ocfroi,Operating cash flow return on invested capital (operating cash flow divided by invested capital),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9651,14,60,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ollev,Operating liability leverage,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9579,25,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_opincltd,Change in TTM Oper Income vs LT Debt: It is defined as the difference between the yearly percent change in operating income and the yearly percent change in long-term debt.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.852,24,36,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_oplev,Operating Leverage: It is defined as the percent change in the trailing 12-month operating income from the previous quarter divided by the percent change in trailing 12-month sales from the previous quarter.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9414,19,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_opmb,Operating profit margin,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.965,33,53,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_p50_200ratio,50-200 day stock price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9409,26,68,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_past,Price-to-Total Assets ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9682,169,1347,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctabv260low,Price above last 260-day lowest trading price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9711,37,69,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchg3ycf,3-year growth in trailing 12-month cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9427,26,50,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchg3yeps,3-year growth in trailing 12-month earnings per share,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.933,20,46,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchg3yfcf,3-year growth in trailing 12-month free cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7611,18,23,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchg3yocf,3-year growth in trailing twelve-month operating cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8739,17,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchgastto,Percent change in the asset turnover ratio over 1 year (vs. 4 quarters ago),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9636,20,32,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchgcf,One-year growth in trailing 12-month cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9477,17,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchgeps,One-year growth in trailing twelve-month earnings per share,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9318,164,2241,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchgfcf,Percent change in Free Cash Flow (historical growth),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7783,11,11,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchgocf,1-year growth in trailing 12-month operating cash flow,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8812,10,11,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchgqtrast,Year-over-year change in total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9659,30,40,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pctchgqtrsales,1-Yr Change in Sales: It is defined as the growth in the most recent reported quarterly sales per share as compared to 4 quarters ago.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9638,21,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pcurlia,Current liabilities-to-price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7993,21,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_perg,Risk-adjusted PEG ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.594,9,10,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pinoa,Pretax return on net operating assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7938,19,21,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pr_1536,15/36 Week Stock Price Ratio: It is defined as the moving average of a stock's prices in the last 15 weeks divided by the moving average of its prices in the last 36 weeks.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9475,29,53,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_pr_30w75w,30-75 week stock price ratio; moving average of last 30 weeks' prices divided by last 75 weeks' prices,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9158,17,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_qr,Quick Ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7979,29,55,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rationalalpha,Rational Decay Alpha: It evaluates stocks based on their historical 12-month market (S&P 500) adjusted excess return (the Y-intercept from an OLS regression equation) using a proprietary rational decay function.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9281,28,42,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ratrev6m,Street Rating Revision; 6-month average change in analyst recommendations,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9038,24,39,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rdsale,R&D intensity (research and development expense relative to sales),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.5454,15,17,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_reinrate,Reinvestment Rate: It is defined as the trailing 12-month earnings per share before extra items less the trailing 12-month dividends per share by ex-date divided by the average book equity per share in the same period.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9458,22,28,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5ybp,5-Yr Relative Book-to-Market: It is defined as a stock's current book-to-market ratio (BP) minus the average of the BPs in the last 60 months scaled by the standard deviation of the BPs over the same period.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7899,20,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5ycfp,5-year relative trailing cash flow-to-price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7865,12,19,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5ydivp,5-year Relative trailing twelve-month Dividend Yield,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7168,4,5,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5yebitdap,5-year relative trailing 12-month EBITDA-to-price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7767,16,22,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5yep,5-year relative trailing twelve-month earnings-to-price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7907,11,18,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5yfcfp,5-year relative TTM free cash flow-to-price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7802,11,23,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5yocfp,5-year relative trailing 12-month operating cash flow-to-price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7815,15,19,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rel5ysp,5-year relative trailing 12-month sales-to-price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7904,11,32,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_relpricestrength_,"Industry-adjusted 12-month relative price strength (minus industry average, scaled by industry std dev)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9274,36,87,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_reoa,Retained earnings-to-total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.955,14,29,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rerror60m,Regression error of 60-month CAPM,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8185,7,10,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_revper,Revenue per employee; trailing 12-month sales divided by number of employees,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8984,16,18,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_roa,Return on Assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9678,16,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_roe,Return on Equity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9544,15,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_roic,Return on Invested Capital,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9569,22,48,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rsi26w,26-week relative price strength; most recent weekly closing price divided by the weekly closing price 26 weeks ago,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9581,22,47,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rtn2nd6m,Price return over the second six-month period,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.932,33,69,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_rtn39w,39-week return with a 4-week lag,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9405,25,45,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_saleeps,Change in TTM Sales vs EPS: It is defined as the absolute value of the difference between the yearly percent change in trailing 12-month sales per share and the yearly percent change in trailing 12-month diluted earnings per share before extraordinary items.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8979,24,29,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_saleg5y,5-year Sales Growth,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9035,30,38,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_salegpm,Change in QTR Sales vs Gross Margin: It is defined as the difference between the yearly change in most recent reported quarterly sales and the yearly change in the quarterly gross profit margin.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8646,21,25,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_salerec,Change in trailing twelve-month sales relative to accounts receivable,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8862,20,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_apsales,Proportion of company sales from the Asia-Pacific region,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8173,21,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_ceroe,Cash Earnings Return on Equity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9404,15,17,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_crp,Credit Risk Premium: change in yield spread between Moody's BAA and AAA bond indices (CRP_t − CRP_t−1),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,21,35,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_da,Total debt to total assets leverage ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.96,110,493,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_emeasales,"Proportion of company sales from the Europe, Middle East and Africa region","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7757,16,18,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_hs,Housing Starts: percentage change in new residential housing units ((HS_t / HS_t−1) − 1) × 100,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,22,27,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_inflation,Inflation Sensitivity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,146,886,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_ip,Industrial Production: percentage change in industrial output ((IP_t / IP_t−1) − 1) × 100,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,32,57,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_lasales,Proportion of company sales from the Latin America region,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.748,11,19,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_nasales,Proportion of company sales from the North America region,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7876,16,21,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_oilprice,Beta coefficient measuring the stock’s sensitivity to oil price changes,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,26,36,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_usd,US Dollar Value Sensitivity,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,25,37,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_vix,CBOE Volatility Index (market volatility measure),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,24,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sensitivityfactor_yieldsprd,Sensitivity to the yield curve slope (beta to yield spread),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.945,25,38,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sga,"Selling, General, and Administrative Expenses","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6779,4,7,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_sigma,Standard deviation of returns,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8185,16,18,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_skew90cortn,Skewness of 90-day daily excess returns,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.966,23,38,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_skew90drtn,Skewness of 90-day stock daily returns,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9661,21,44,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_slope52wp,Slope of 52-week price trend line,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.93,18,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_slope66wp,Slope of 66-week price trend line; 4-week lagged slope coefficient of least squares regression of last 66 weeks' weekly closing price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9197,16,23,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_stockrating,Street Consensus Rating: It is defined as the consensus recommendation for a company.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9264,205,2337,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_surp,"Earnings surprise; actual EPS minus forecast, scaled by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.83,27,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_susgrowth,The maximum growth rate a firm can sustain without having to increase financial leverage.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9457,16,25,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_swc,Working capital-to-trailing 12-month sales,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7971,135,1725,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_tobinq,"Tobin’s Q, market value of equity plus debt divided by total assets","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9652,27,44,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_totalcov,Total coverage ratio; TTM operating income before depreciation divided by annualized cash dividends plus interest expense,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9142,18,22,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_totalsaleg,Year-over-year growth rate of total sales based on trailing twelve months,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9648,28,36,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_tstalp,1-Year Price Momentum Indicator,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9301,28,59,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmaccu,Trailing twelve months accruals; earnings quality measure based on accruals,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9659,18,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmcapexp,Trailing twelve-month capital expenditures divided by price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9637,17,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmcfp,Trailing twelve-month cash flow from operations,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9676,22,29,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmepa,An indicator that standardizes and compares relative share price between time periods and among companies.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9678,129,809,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmepb,"The company's performance in trailing 1-year before taking into account non-recurring gain or loss, divided by its month-end trading price.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9681,25,63,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmfcfev,Trailing 12-month Free Cash Flow-to-Enterprise Value ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9634,117,543,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmfcfp,Trailing 12-month free cash flow-to-price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9655,21,59,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmgfp,Trailing twelve-month Growth Flow-to-Price ratio; last four quarters GAAP earnings plus R&D expenses scaled by market value,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9679,25,45,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmocfp,Trailing twelve-month operating cash flow to price,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9659,20,25,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmpiqp,Trailing 12-month pretax income-to-price (pretax income per share scaled by price),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.968,199,1552,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmsaleev,Trailing 12-month Sales-to-Enterprise Value ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9678,138,839,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_ttmsp,Trailing twelve-month sales-to-price ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9679,24,43,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_tw_ep,Time-weighted earnings yield,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9196,153,813,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_uap,Unexpected Change in Accounts Payable: It is defined as the difference between current accounts payable and the expected level of accounts payable (multiplying the prior year's closing account balance by the growth in costs of goods sold in the trailing 12 months) scaled by the total assets.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7906,19,21,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_uar,"Unexpected change in accounts receivable relative to expected level, scaled by total assets","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8857,10,11,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_udep,Unexpected Change in Depreciation: It is defined as the difference between the trailing 12-month depreciation expenses and the expected level of depreciation expenses (multiplying the prior year's closing account balance by the growth in total fixed assets) scaled by the total assets.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9624,19,33,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_uinv,The difference of inventory between present and expected levels.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8551,23,33,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_var24m,24-month Value at Risk,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.896,10,13,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_varresirtn,24-Month residual return variance,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7985,14,17,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_visiratio,Visibility Ratio; most recent daily trading volume divided by average daily volume over the last 50 days,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9708,16,21,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_volpre6m,Volatility of trading volume over the past six months,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9668,17,19,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_volto,Trading Turnover Ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9708,24,45,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_wcacc,Working capital accruals (earnings quality measure),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.78,31,45,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_wcast,Working capital-to-total assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7977,171,1805,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_wcinv,Working capital to inventory ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7549,127,967,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_yoychgaa,Year-over-year change in accruals-adjusted assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9634,28,39,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_yoychgcr,Year-over-year change in current ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7954,156,762,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_yoychgda,Year-over-year Change in Leverage: It is defined as the difference between the most recent reported quarterly total liabilities as a percentage of the reported total assets and the percentage for the same quarter one year ago.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9658,21,31,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_yoychggpm,Year-over-year change in gross profit margin,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8679,19,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
mdl177_yoychgroa,Year-over-year change in return on assets,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9655,26,46,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
net_fy2_analyst_revisions,Net number of analyst forecast revisions for the next fiscal year (upgrades minus downgrades).,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8992,22,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
normalized_earnings_yield_composite,Normalized Earnings Yield,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.4889,98,1132,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
ohlson_bankruptcy_risk_score_2,Ohlson Bankruptcy Score,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7852,137,712,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
one_month_return_interquartile_range,1-Month Stock Return Interquartile Range,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9623,24,34,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
one_month_return_stddev,1-Month Realized Stock Return Volatility,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9618,97,362,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
one_year_gross_profit_to_assets_change,1-Year Change in Gross Profit to Assets. It is defined as the year-on-year change in gross profit to assets.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8347,17,24,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
one_year_price_momentum_indicator_india,1-Year Price Momentum Indicator,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8069,126,1273,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
percent_change_quarterly_sales_india,1-yr Change in Sales,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8359,19,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
price_to_book_roe_residual,Price-to-Book Return-on-Equity Combination (PB-ROE),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8668,18,22,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
profitability_ratio_operating_income_to_assets_2,Profitability Ratio,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9553,19,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
quarterly_earnings_surprise_stddev_2,Most Recent Quarterly Earnings Surprise,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7081,29,46,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
quarterly_earnings_surprise_stddev_60d_lag,60-Day Lagged Quarterly Earnings Surprise,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6553,33,39,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
quarterly_eps_surprise_variation,Change in Real Earnings Surprise,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7461,26,41,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
r_squared_five_year_eps_trend,R-squared of five-year trailing 12-month EPS trend line.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9206,117,425,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
shareholder_rights_score,Shareholder rights score (Corporate Governance - protections and rights afforded to shareholders),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
six_month_avg_fy2_earnings_revision,"Average of the prior six months' changes in consensus FY2 earnings forecasts, scaled by standard deviation.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8842,19,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
slope_five_year_eps_trend,Slope coefficient of five-year trailing 12-month EPS trend line.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9206,23,32,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
social_community_score,Community responsibility score (Social/ESG theme - company’s impact and engagement with local communities),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,3,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
social_human_rights_score,Human rights and social responsibility score (Social/ESG theme - policies and practices regarding human rights),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,3,3,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
social_score_asset4,Total shares outstanding,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,2,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
three_month_fy1_eps_revision_stddev,3-M Revision in FY1 EPS Forecasts: Dispersion Relative,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7876,142,1020,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
three_month_fy2_earnings_revision_stddev,3-M Revision in FY2 EPS Forecasts: Dispersion Relative,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7851,164,1153,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
three_month_revision_fy1_earnings_india,"3-month revision in FY1 EPS forecasts; change in current FY1 forecast versus three months ago, scaled","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7937,243,2905,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
three_month_revision_fy2_earnings_india,"3-month revision in FY2 EPS forecasts; change in FY2 earnings forecast since three months ago, scaled by price","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.7924,165,1553,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
three_year_gross_margin_change,3 Year Change in Gross Profit Margin. It is defined as the 3 Year on Year Change in Gross Profit Margin.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8125,15,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
three_year_gross_profit_to_assets_change,3-Year Change in Gross Profit to Assets. It is defined as the 3-Year on Year Change in Gross Profit to Assets.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8136,15,26,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
time_weighted_book_value_to_price_2,Time-weighted average of book value per share estimates for FY1 and FY2 divided by close price.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8703,98,628,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
time_weighted_cashflow_to_price,Time-weighted average of cash flows per share estimates for FY1 and FY2 divided by close price.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6072,14,19,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
time_weighted_ebitda_enterprise_value,Time-weighted average of EBITDA to enterprise value for FY1 and FY2.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8306,23,24,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
time_weighted_eps_revision_six_month,Time Weighted Earnings Revision,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6267,26,30,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
time_weighted_eps_stddev_revision_2,"Six-month average of time-weighted FY1 and FY2 earnings estimate revisions, adjusted by standard deviation.","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.6275,18,20,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
time_weighted_sales_to_price_2,Time-weighted sales per share for FY1 and FY2 divided by price.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.88,10,11,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
ttm_operating_cash_flow_to_ev_asia,TTM Operating Cash Flow-to-Enterprise Value,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9578,34,104,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
ttm_operating_income_to_ev_asia,TTM Operating Income to Enterprise Value,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9575,139,1032,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
twelve_month_total_debt_change_asia,12 Month Change in Total Debt,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9574,18,22,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
two_year_eps_growth_pct_change_asia,2-Year Ahead EPS Growth Percentage Change,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.9121,34,48,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
unexpected_profitability_metric,Unexpected Profitability,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8813,39,50,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
value_score_india,Value - QSG India,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.8402,259,1194,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
workforce_diversity_opportunity_score,Workforce diversity and opportunity score (Social/ESG theme - diversity and equal opportunity in hiring/promotions),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
workforce_equity_score,"Workforce employment quality score (Social/ESG theme - labor practices, pay, stability, satisfaction)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,1,1,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
workforce_training_development_score,Workforce training and development score (Social/ESG theme - quality and investment in employee training),"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,3,4,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
workplace_health_safety_score,"Workforce health and safety score (Social/ESG theme - occupational health, accident prevention, and safety policies)","{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,1.0,0.3978,2,4,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
yearly_arithmetic_change_return_on_equity,The absolute change in return on equity (ROE) over the past year.,"{'id': 'model77', 'name': ""Analysts' Factor Model""}","{'id': 'model', 'name': 'Model'}","{'id': 'model-technical-models', 'name': 'Technical Models'}",IND,1,TOP500,MATRIX,0.8508,0.9293,37,52,1.3,[],model77,Analysts' Factor Model,model,Model,model-technical-models,Technical Models
yearly_percentage_change_return_on_equity