jack 2 months ago
parent a68bafd086
commit d1001731b5
  1. 2651
      reference_fields/all_data_combined.csv
  2. 2
      reference_fields/analyst4_data-fields.csv
  3. 2
      reference_fields/fundamental2_data-fields.csv
  4. 2
      reference_fields/fundamental6_data-fields.csv
  5. 2
      reference_fields/model16_data-fields.csv
  6. 2
      reference_fields/model51_data-fields.csv
  7. 2
      reference_fields/news12_data-fields.csv
  8. 2
      reference_fields/news18_data-fields.csv
  9. 2
      reference_fields/option8_data-fields.csv
  10. 2
      reference_fields/option9_data-fields.csv
  11. 2
      reference_fields/pv13_data-fields.csv
  12. 2
      reference_fields/pv1_data-fields.csv
  13. 2
      reference_fields/socialmedia12_data-fields.csv
  14. 2
      reference_fields/socialmedia8_data-fields.csv
  15. 2
      reference_fields/univ1_data-fields.csv

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@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
actual_cashflow_per_share_value_quarterly,Cash Flow Per Share - actual value for the quarter,analyst4,Analyst Estimate Data for Equity,analyst,Analyst,USA,1,TOP3000,MATRIX
actual_dividend_value_quarterly,Dividend - Actual value for the quarter,analyst4,Analyst Estimate Data for Equity,analyst,Analyst,USA,1,TOP3000,MATRIX
actual_eps_value_quarterly,Earnings Per Share (Income Statement/Per Share) (Actual),analyst4,Analyst Estimate Data for Equity,analyst,Analyst,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 actual_cashflow_per_share_value_quarterly Cash Flow Per Share - actual value for the quarter analyst4 Analyst Estimate Data for Equity analyst Analyst USA 1 TOP3000 MATRIX
3 actual_dividend_value_quarterly Dividend - Actual value for the quarter analyst4 Analyst Estimate Data for Equity analyst Analyst USA 1 TOP3000 MATRIX
4 actual_eps_value_quarterly Earnings Per Share (Income Statement/Per Share) (Actual) analyst4 Analyst Estimate Data for Equity analyst Analyst USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
fn_accrued_liab_a,"Carrying value as of the balance sheet date of obligations incurred and payable, pertaining to costs that are statutory in nature, are incurred on contractual obligations, or accumulate over time and for which invoices have not yet been received or will not be rendered.",fundamental2,Report Footnotes,fundamental,Fundamental,USA,1,TOP3000,MATRIX
fn_accrued_liab_curr_a,"Carrying value as of the balance sheet date of obligations incurred and payable, pertaining to costs that are statutory in nature, are incurred on contractual obligations, or accumulate over time and for which invoices have not yet been received or will not be rendered.",fundamental2,Report Footnotes,fundamental,Fundamental,USA,1,TOP3000,MATRIX
fn_accrued_liab_curr_q,"Carrying value as of the balance sheet date of obligations incurred and payable, pertaining to costs that are statutory in nature, are incurred on contractual obligations, or accumulate over time and for which invoices have not yet been received or will not be rendered.",fundamental2,Report Footnotes,fundamental,Fundamental,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 fn_accrued_liab_a Carrying value as of the balance sheet date of obligations incurred and payable, pertaining to costs that are statutory in nature, are incurred on contractual obligations, or accumulate over time and for which invoices have not yet been received or will not be rendered. fundamental2 Report Footnotes fundamental Fundamental USA 1 TOP3000 MATRIX
3 fn_accrued_liab_curr_a Carrying value as of the balance sheet date of obligations incurred and payable, pertaining to costs that are statutory in nature, are incurred on contractual obligations, or accumulate over time and for which invoices have not yet been received or will not be rendered. fundamental2 Report Footnotes fundamental Fundamental USA 1 TOP3000 MATRIX
4 fn_accrued_liab_curr_q Carrying value as of the balance sheet date of obligations incurred and payable, pertaining to costs that are statutory in nature, are incurred on contractual obligations, or accumulate over time and for which invoices have not yet been received or will not be rendered. fundamental2 Report Footnotes fundamental Fundamental USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
assets,Assets - Total,fundamental6,Company Fundamental Data for Equity,fundamental,Fundamental,USA,1,TOP3000,MATRIX
assets_curr,Current Assets - Total,fundamental6,Company Fundamental Data for Equity,fundamental,Fundamental,USA,1,TOP3000,MATRIX
bookvalue_ps,Book Value Per Share,fundamental6,Company Fundamental Data for Equity,fundamental,Fundamental,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 assets Assets - Total fundamental6 Company Fundamental Data for Equity fundamental Fundamental USA 1 TOP3000 MATRIX
3 assets_curr Current Assets - Total fundamental6 Company Fundamental Data for Equity fundamental Fundamental USA 1 TOP3000 MATRIX
4 bookvalue_ps Book Value Per Share fundamental6 Company Fundamental Data for Equity fundamental Fundamental USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
analyst_revision_rank_derivative,Change in ranking for analyst revisions and momentum compared to previous period.,model16,Fundamental Scores,model,Model,USA,1,TOP3000,MATRIX
cashflow_efficiency_rank_derivative,Change in ranking for cash flow generation and profitability compared to previous period.,model16,Fundamental Scores,model,Model,USA,1,TOP3000,MATRIX
composite_factor_score_derivative,Change in overall composite factor score from the prior period.,model16,Fundamental Scores,model,Model,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 analyst_revision_rank_derivative Change in ranking for analyst revisions and momentum compared to previous period. model16 Fundamental Scores model Model USA 1 TOP3000 MATRIX
3 cashflow_efficiency_rank_derivative Change in ranking for cash flow generation and profitability compared to previous period. model16 Fundamental Scores model Model USA 1 TOP3000 MATRIX
4 composite_factor_score_derivative Change in overall composite factor score from the prior period. model16 Fundamental Scores model Model USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
beta_last_30_days_spy,Beta to SPY in 30 Days,model51,Systematic Risk Metrics,model,Model,USA,1,TOP3000,MATRIX
beta_last_360_days_spy,Beta to SPY in 360 Days,model51,Systematic Risk Metrics,model,Model,USA,1,TOP3000,MATRIX
beta_last_60_days_spy,Beta to SPY in 60 Days,model51,Systematic Risk Metrics,model,Model,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 beta_last_30_days_spy Beta to SPY in 30 Days model51 Systematic Risk Metrics model Model USA 1 TOP3000 MATRIX
3 beta_last_360_days_spy Beta to SPY in 360 Days model51 Systematic Risk Metrics model Model USA 1 TOP3000 MATRIX
4 beta_last_60_days_spy Beta to SPY in 60 Days model51 Systematic Risk Metrics model Model USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
news_all_vwap,Volume weighted average price of all sessions,news12,US News Data,news,News,USA,1,TOP3000,MATRIX
news_atr14,14-day Average True Range,news12,US News Data,news,News,USA,1,TOP3000,MATRIX
news_atr_ratio,Ratio of today's range to 20-day average true range,news12,US News Data,news,News,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 news_all_vwap Volume weighted average price of all sessions news12 US News Data news News USA 1 TOP3000 MATRIX
3 news_atr14 14-day Average True Range news12 US News Data news News USA 1 TOP3000 MATRIX
4 news_atr_ratio Ratio of today's range to 20-day average true range news12 US News Data news News USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
nws18_acb,News sentiment specializing in corporate action announcements,news18,Ravenpack News Data,news,News,USA,1,TOP3000,VECTOR
nws18_bam,News sentiment specializing in mergers and acquisitions,news18,Ravenpack News Data,news,News,USA,1,TOP3000,VECTOR
nws18_bee,News sentiment specializing in growth of earnings,news18,Ravenpack News Data,news,News,USA,1,TOP3000,VECTOR

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 nws18_acb News sentiment specializing in corporate action announcements news18 Ravenpack News Data news News USA 1 TOP3000 VECTOR
3 nws18_bam News sentiment specializing in mergers and acquisitions news18 Ravenpack News Data news News USA 1 TOP3000 VECTOR
4 nws18_bee News sentiment specializing in growth of earnings news18 Ravenpack News Data news News USA 1 TOP3000 VECTOR

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
historical_volatility_10,Close-to-close Historical volatility over 10 days,option8,Volatility Data,option,Option,USA,1,TOP3000,MATRIX
historical_volatility_120,Close-to-close Historical volatility over 120 days,option8,Volatility Data,option,Option,USA,1,TOP3000,MATRIX
historical_volatility_150,Close-to-close Historical volatility over 150 days,option8,Volatility Data,option,Option,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 historical_volatility_10 Close-to-close Historical volatility over 10 days option8 Volatility Data option Option USA 1 TOP3000 MATRIX
3 historical_volatility_120 Close-to-close Historical volatility over 120 days option8 Volatility Data option Option USA 1 TOP3000 MATRIX
4 historical_volatility_150 Close-to-close Historical volatility over 150 days option8 Volatility Data option Option USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
call_breakeven_10,Price at which a stock's call options with expiration 10 days in the future break even based on its recent bid/ask mean.,option9,Options Analytics,option,Option,USA,1,TOP3000,MATRIX
call_breakeven_1080,Price at which a stock's call options with expiration 1080 days in the future break even based on its recent bid/ask mean.,option9,Options Analytics,option,Option,USA,1,TOP3000,MATRIX
call_breakeven_120,Price at which a stock's call options with expiration 120 days in the future break even based on its recent bid/ask mean.,option9,Options Analytics,option,Option,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 call_breakeven_10 Price at which a stock's call options with expiration 10 days in the future break even based on its recent bid/ask mean. option9 Options Analytics option Option USA 1 TOP3000 MATRIX
3 call_breakeven_1080 Price at which a stock's call options with expiration 1080 days in the future break even based on its recent bid/ask mean. option9 Options Analytics option Option USA 1 TOP3000 MATRIX
4 call_breakeven_120 Price at which a stock's call options with expiration 120 days in the future break even based on its recent bid/ask mean. option9 Options Analytics option Option USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
primary_sector_focused_company_count,Number of companies primarily focused in a given sector.,pv13,Relationship Data for Equity,pv,Price Volume,USA,1,TOP3000,MATRIX
pv13_1l_scibr,grouping fields,pv13,Relationship Data for Equity,pv,Price Volume,USA,1,TOP3000,GROUP
pv13_2l_scibr,grouping fields,pv13,Relationship Data for Equity,pv,Price Volume,USA,1,TOP3000,GROUP

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 primary_sector_focused_company_count Number of companies primarily focused in a given sector. pv13 Relationship Data for Equity pv Price Volume USA 1 TOP3000 MATRIX
3 pv13_1l_scibr grouping fields pv13 Relationship Data for Equity pv Price Volume USA 1 TOP3000 GROUP
4 pv13_2l_scibr grouping fields pv13 Relationship Data for Equity pv Price Volume USA 1 TOP3000 GROUP

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
adv20,Average daily volume in past 20 days,pv1,Price Volume Data for Equity,pv,Price Volume,USA,1,TOP3000,MATRIX
cap,Daily market capitalization (in millions),pv1,Price Volume Data for Equity,pv,Price Volume,USA,1,TOP3000,MATRIX
close,Daily close price,pv1,Price Volume Data for Equity,pv,Price Volume,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 adv20 Average daily volume in past 20 days pv1 Price Volume Data for Equity pv Price Volume USA 1 TOP3000 MATRIX
3 cap Daily market capitalization (in millions) pv1 Price Volume Data for Equity pv Price Volume USA 1 TOP3000 MATRIX
4 close Daily close price pv1 Price Volume Data for Equity pv Price Volume USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
scl12_alltype_buzzvec,sentiment volume,socialmedia12,Sentiment Data for Equity,socialmedia,Social Media,USA,1,TOP3000,VECTOR
scl12_alltype_sentvec,sentiment,socialmedia12,Sentiment Data for Equity,socialmedia,Social Media,USA,1,TOP3000,VECTOR
scl12_alltype_typevec,instrument type index,socialmedia12,Sentiment Data for Equity,socialmedia,Social Media,USA,1,TOP3000,VECTOR

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 scl12_alltype_buzzvec sentiment volume socialmedia12 Sentiment Data for Equity socialmedia Social Media USA 1 TOP3000 VECTOR
3 scl12_alltype_sentvec sentiment socialmedia12 Sentiment Data for Equity socialmedia Social Media USA 1 TOP3000 VECTOR
4 scl12_alltype_typevec instrument type index socialmedia12 Sentiment Data for Equity socialmedia Social Media USA 1 TOP3000 VECTOR

@ -1,3 +1,3 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
snt_social_value,Z score of sentiment,socialmedia8,Social Media Data for Equity,socialmedia,Social Media,USA,1,TOP3000,MATRIX
snt_social_volume,Normalized tweet volume,socialmedia8,Social Media Data for Equity,socialmedia,Social Media,USA,1,TOP3000,MATRIX

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 snt_social_value snt_social_value Z score of sentiment socialmedia8 Social Media Data for Equity socialmedia Social Media USA 1 TOP3000 MATRIX
3 snt_social_volume snt_social_volume Normalized tweet volume socialmedia8 Social Media Data for Equity socialmedia Social Media USA 1 TOP3000 MATRIX

@ -1,4 +1,4 @@
id,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
name,description,dataset_id,dataset_name,category_id,category_name,region,delay,universe,type
top1000,20140630,univ1,Universe Dataset,pv,Price Volume,USA,1,TOP3000,UNIVERSE
top200,20140630,univ1,Universe Dataset,pv,Price Volume,USA,1,TOP3000,UNIVERSE
top3000,20140630,univ1,Universe Dataset,pv,Price Volume,USA,1,TOP3000,UNIVERSE

1 id name description dataset_id dataset_name category_id category_name region delay universe type
2 top1000 top1000 20140630 univ1 Universe Dataset pv Price Volume USA 1 TOP3000 UNIVERSE
3 top200 top200 20140630 univ1 Universe Dataset pv Price Volume USA 1 TOP3000 UNIVERSE
4 top3000 top3000 20140630 univ1 Universe Dataset pv Price Volume USA 1 TOP3000 UNIVERSE
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