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[ |
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{ |
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"id": "analyst_revision_rank_derivative", |
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"description": "Change in ranking for analyst revisions and momentum compared to previous period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "cashflow_efficiency_rank_derivative", |
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"description": "Change in ranking for cash flow generation and profitability compared to previous period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "composite_factor_score_derivative", |
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"description": "Change in overall composite factor score from the prior period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "earnings_certainty_rank_derivative", |
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"description": "Change in ranking for earnings sustainability and certainty compared to previous period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_growth", |
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"description": "The purpose of this metric is to qualify the expected MT growth potential of the stock.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_momentum", |
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"description": "The purpose of this metric is to identify stocks which are currently undergoing either up or downward analyst revisions.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_profitability", |
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"description": "The purpose of this metric is to rank stock based on their ability to generate cash flows.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_quality", |
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"description": "The purpose of this metric is to measure both the sustainability and certainty of earnings.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_surface", |
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"description": "The static score. An index between 0 & 100 is applied for each stock and each composite factor - The first ranking is a pentagon surface-based score. The larger the surface, the higher the rank.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_surface_accel", |
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"description": "The derivative score. In a second step, we calculate the derivative of this score (ie: Is the surface of the pentagon increasing or decreasing from the previous month?).", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_total", |
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"description": "The final score M-Score is a weighted average of both the Pentagon surface score and the Pentagon acceleration score.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_bfl_value", |
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"description": "The purpose of this metric is to see if the stock is under or overpriced given several well known valuation standards.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_growth", |
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"description": "The purpose of this metric is to qualify the expected MT growth potential of the stock.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_momentum", |
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"description": "The purpose of this metric is to identify stocks which are currently undergoing either up or downward analyst revisions.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_profitability", |
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"description": "The purpose of this metric is to rank stock based on their ability to generate cash flows.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_quality", |
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"description": "The purpose of this metric is to measure both the sustainability and certainty of earnings.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_surface", |
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"description": "The static score. An index between 0 & 100 is applied for each stock and each composite factor - The first ranking is a pentagon surface-based score. The larger the surface, the higher the rank.", |
||||
"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_surface_accel", |
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"description": "The derivative score. In a second step, we calculate the derivative of this score (ie: Is the surface of the pentagon increasing or decreasing from the previous month?).", |
||||
"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_total", |
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"description": "The final score M-Score is a weighted average of both the Pentagon surface score and the Pentagon acceleration score.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "fscore_value", |
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"description": "The purpose of this metric is to see if the stock is under or overpriced given several well known valuation standards.", |
||||
"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "growth_potential_rank_derivative", |
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"description": "Change in ranking for medium-term growth potential compared to previous period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "multi_factor_acceleration_score_derivative", |
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"description": "Change in the acceleration of multi-factor score compared to previous period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "multi_factor_static_score_derivative", |
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"description": "Change in static multi-factor score compared to previous period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "relative_valuation_rank_derivative", |
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"description": "Change in ranking for valuation metrics compared to previous period.", |
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"dataset_id": "model16", |
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"dataset_name": "Fundamental Scores", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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} |
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] |
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[ |
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{ |
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"id": "beta_last_30_days_spy", |
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"description": "Beta to SPY in 30 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "beta_last_360_days_spy", |
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"description": "Beta to SPY in 360 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "beta_last_60_days_spy", |
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"description": "Beta to SPY in 60 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "beta_last_90_days_spy", |
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"description": "Beta to SPY in 90 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "correlation_last_30_days_spy", |
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"description": "Correlation to SPY in 30 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "correlation_last_360_days_spy", |
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"description": "Correlation to SPY in 360 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "correlation_last_60_days_spy", |
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"description": "Correlation to SPY in 60 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "correlation_last_90_days_spy", |
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"description": "Correlation to SPY in 90 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "systematic_risk_last_30_days", |
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"description": "Systematic Risk Last 30 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
||||
"type": "MATRIX" |
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}, |
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{ |
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"id": "systematic_risk_last_360_days", |
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"description": "Systematic Risk Last 360 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "systematic_risk_last_60_days", |
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"description": "Systematic Risk Last 60 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "systematic_risk_last_90_days", |
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"description": "Systematic Risk Last 90 Days", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "unsystematic_risk_last_30_days", |
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"description": "Unsystematic Risk Last 30 Days - Relative to SPY", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "unsystematic_risk_last_360_days", |
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"description": "Unsystematic Risk Last 360 Days - Relative to SPY", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
||||
"category_name": "Model", |
||||
"region": "USA", |
||||
"delay": 1, |
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"universe": "TOP3000", |
||||
"type": "MATRIX" |
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}, |
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{ |
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"id": "unsystematic_risk_last_60_days", |
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"description": "Unsystematic Risk Last 60 Days - Relative to SPY", |
||||
"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
||||
"category_id": "model", |
||||
"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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}, |
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{ |
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"id": "unsystematic_risk_last_90_days", |
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"description": "Unsystematic Risk Last 90 Days - Relative to SPY", |
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"dataset_id": "model51", |
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"dataset_name": "Systematic Risk Metrics", |
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"category_id": "model", |
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"category_name": "Model", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "MATRIX" |
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} |
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] |
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[ |
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{ |
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"id": "nws18_acb", |
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"description": "News sentiment specializing in corporate action announcements", |
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"dataset_id": "news18", |
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"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
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"type": "VECTOR" |
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}, |
||||
{ |
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"id": "nws18_bam", |
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"description": "News sentiment specializing in mergers and acquisitions", |
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"dataset_id": "news18", |
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"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
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}, |
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{ |
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"id": "nws18_bee", |
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"description": "News sentiment specializing in growth of earnings", |
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"dataset_id": "news18", |
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"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
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"region": "USA", |
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"delay": 1, |
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"universe": "TOP3000", |
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"type": "VECTOR" |
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}, |
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{ |
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"id": "nws18_ber", |
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"description": "News sentiment specializing in earnings result", |
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"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_event_relevance", |
||||
"description": "Relevance of the event to the story", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_event_similarity_days", |
||||
"description": "Days since a similar event was detected", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_ghc_lna", |
||||
"description": "Change in analyst recommendation", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_nip", |
||||
"description": "Degree of impact of the news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_qcm", |
||||
"description": "News sentiment of relevant news with high confidence", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_qep", |
||||
"description": "News sentiment based on positive and negative words on global equity", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_qmb", |
||||
"description": "News sentiment specializing in editorials on global markets", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_relevance", |
||||
"description": "Relevance of news to the company", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_ssc", |
||||
"description": "Sentiment of the news calculated using multiple techniques", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "nws18_sse", |
||||
"description": "Sentiment of phrases impacting the company", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "rp_css_assets", |
||||
"description": "Composite sentiment score of assets news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_business", |
||||
"description": "Composite sentiment score of business-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_credit", |
||||
"description": "Composite sentiment score of credit news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_credit_ratings", |
||||
"description": "Composite sentiment score of credit ratings news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_dividends", |
||||
"description": "Composite sentiment score of dividends news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_earnings", |
||||
"description": "Composite sentiment score of earnings news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_equity", |
||||
"description": "Composite sentiment score of equity action news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_insider", |
||||
"description": "Composite sentiment score of insider trading news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_inverstor", |
||||
"description": "Composite sentiment score of investor relations news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_labor", |
||||
"description": "Composite sentiment score of labor issues news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_legal", |
||||
"description": "Composite sentiment score of legal news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_marketing", |
||||
"description": "Composite sentiment score of marketing news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_mna", |
||||
"description": "Composite sentiment score of mergers and acquisitions-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_partner", |
||||
"description": "Composite sentiment score of partnership news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_price", |
||||
"description": "Composite sentiment score of stock price news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_product", |
||||
"description": "Composite sentiment score of product and service-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_ptg", |
||||
"description": "Composite sentiment score of price target news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_ratings", |
||||
"description": "Composite sentiment score of analyst ratings-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_revenue", |
||||
"description": "Composite sentiment score of revenue news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_society", |
||||
"description": "Composite sentiment score of society-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_css_technical", |
||||
"description": "Composite sentiment score based on technical analysis", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_assets", |
||||
"description": "Event sentiment score of assets news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_business", |
||||
"description": "Event sentiment score of business-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_credit", |
||||
"description": "Event sentiment score of credit news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_credit_ratings", |
||||
"description": "Event sentiment score of credit ratings news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_dividends", |
||||
"description": "Event sentiment score of dividends news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_earnings", |
||||
"description": "Event sentiment score of earnings news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_equity", |
||||
"description": "Event sentiment score of equity action news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_insider", |
||||
"description": "Event sentiment score of insider trading news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_labor", |
||||
"description": "Event sentiment score of labor issues news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_legal", |
||||
"description": "Event sentiment score of legal news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_mna", |
||||
"description": "Event sentiment score of mergers and acquisitions-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_partner", |
||||
"description": "Event sentiment score of partnership news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_price", |
||||
"description": "Event sentiment score of stock price news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_product", |
||||
"description": "Event sentiment score of product and service-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_ptg", |
||||
"description": "Event sentiment score of price target news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_ratings", |
||||
"description": "Event sentiment score of analyst ratings-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_revenue", |
||||
"description": "Event sentiment score of revenue news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_society", |
||||
"description": "Event sentiment score of society-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_ess_technical", |
||||
"description": "Event sentiment score based on technical analysis", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_assets", |
||||
"description": "News impact projection of assets news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_business", |
||||
"description": "News impact projection of business-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_credit", |
||||
"description": "News impact projection of credit news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_credit_ratings", |
||||
"description": "News impact projection of credit ratings news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_dividends", |
||||
"description": "News impact projection of dividends news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_earnings", |
||||
"description": "News impact projection of earnings news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_equity", |
||||
"description": "News impact projection of equity action news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_insider", |
||||
"description": "News impact projection of insider trading news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_inverstor", |
||||
"description": "News impact projection of investor relations news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_labor", |
||||
"description": "News impact projection of labor issues news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_legal", |
||||
"description": "News impact projection of legal news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_marketing", |
||||
"description": "News impact projection of marketing news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_mna", |
||||
"description": "News impact projection of mergers and acquisitions-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_partner", |
||||
"description": "News impact projection of partnership news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_price", |
||||
"description": "News impact projection of stock price news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_product", |
||||
"description": "News impact projection of product and service-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_ptg", |
||||
"description": "News impact projection of price target news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_ratings", |
||||
"description": "News impact projection of analyst ratings-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_revenue", |
||||
"description": "News impact projection of revenue news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_society", |
||||
"description": "News impact projection of society-related news", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "rp_nip_technical", |
||||
"description": "News impact projection based on technical analysis", |
||||
"dataset_id": "news18", |
||||
"dataset_name": "Ravenpack News Data", |
||||
"category_id": "news", |
||||
"category_name": "News", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
} |
||||
] |
||||
|
unable to load file from base commit
|
@ -1,770 +0,0 @@ |
||||
[ |
||||
{ |
||||
"id": "historical_volatility_10", |
||||
"description": "Close-to-close Historical volatility over 10 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "historical_volatility_120", |
||||
"description": "Close-to-close Historical volatility over 120 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "historical_volatility_150", |
||||
"description": "Close-to-close Historical volatility over 150 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "historical_volatility_180", |
||||
"description": "Close-to-close Historical volatility over 180 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "historical_volatility_20", |
||||
"description": "Close-to-close Historical volatility over 20 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "historical_volatility_30", |
||||
"description": "Close-to-close Historical volatility over 30 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "historical_volatility_60", |
||||
"description": "Close-to-close Historical volatility over 60 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "historical_volatility_90", |
||||
"description": "Close-to-close Historical volatility over 90 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_10", |
||||
"description": "At-the-money option-implied volatility for call Option for 10 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_1080", |
||||
"description": "At-the-money option-implied volatility for call option for 1080 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_120", |
||||
"description": "At-the-money option-implied volatility for call Option for 120 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_150", |
||||
"description": "At-the-money option-implied volatility for call Option for 150 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_180", |
||||
"description": "At-the-money option-implied volatility for call Option for 180 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_20", |
||||
"description": "At-the-money option-implied volatility for call Option for 20 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_270", |
||||
"description": "At-the-money option-implied volatility for call Option for 270 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_30", |
||||
"description": "At-the-money option-implied volatility for call Option for 30 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_360", |
||||
"description": "At-the-money option-implied volatility for call Option for 360 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_60", |
||||
"description": "At-the-money option-implied volatility for call Option for 60 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_720", |
||||
"description": "At-the-money option-implied volatility for call Option for 720 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_call_90", |
||||
"description": "At-the-money option-implied volatility for call Option for 90 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_10", |
||||
"description": "At-the-money option-implied volatility mean for 10 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_1080", |
||||
"description": "At-the-money option-implied volatility mean for 3 years", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_120", |
||||
"description": "At-the-money option-implied volatility mean for 120 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_150", |
||||
"description": "At-the-money option-implied volatility mean for 150 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_180", |
||||
"description": "At-the-money option-implied volatility mean for 180 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_20", |
||||
"description": "At-the-money option-implied volatility mean for 20 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_270", |
||||
"description": "At-the-money option-implied volatility mean for 270 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_30", |
||||
"description": "At-the-money option-implied volatility mean for 30 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_360", |
||||
"description": "At-the-money option-implied volatility mean for 360 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_60", |
||||
"description": "At-the-money option-implied volatility mean for 60 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_720", |
||||
"description": "At-the-money option-implied volatility mean for 720 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_90", |
||||
"description": "At-the-money option-implied volatility mean for 90 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_10", |
||||
"description": "At-the-money option-implied volatility mean skew for 10 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_1080", |
||||
"description": "At-the-money option-implied volatility mean skew for 3 years", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_120", |
||||
"description": "At-the-money option-implied volatility mean skew for 120 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_150", |
||||
"description": "At-the-money option-implied volatility mean skew for 150 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_180", |
||||
"description": "At-the-money option-implied volatility mean skew for 180 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_20", |
||||
"description": "At-the-money option-implied volatility mean skew for 20 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_270", |
||||
"description": "At-the-money option-implied volatility mean skew for 270 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_30", |
||||
"description": "At-the-money option-implied volatility mean skew for 30 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_360", |
||||
"description": "At-the-money option-implied volatility mean skew for 360 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_60", |
||||
"description": "At-the-money option-implied volatility mean skew for 60 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_720", |
||||
"description": "At-the-money option-implied volatility mean skew for 720 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_mean_skew_90", |
||||
"description": "At-the-money option-implied volatility mean skew for 90 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_10", |
||||
"description": "At-the-money option-implied volatility for Put Option for 10 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_1080", |
||||
"description": "At-the-money option-implied volatility for Put Option for 3 years", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_120", |
||||
"description": "At-the-money option-implied volatility for Put Option for 120 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_150", |
||||
"description": "At-the-money option-implied volatility for Put Option for 150 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_180", |
||||
"description": "At-the-money option-implied volatility for put option for 180 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_20", |
||||
"description": "At-the-money option-implied volatility for Put Option for 20 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_270", |
||||
"description": "At-the-money option-implied volatility for Put Option for 270 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_30", |
||||
"description": "At-the-money option-implied volatility for Put Option for 30 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_360", |
||||
"description": "At-the-money option-implied volatility for Put Option for 360 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_60", |
||||
"description": "At-the-money option-implied volatility for Put Option for 60 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_720", |
||||
"description": "At-the-money option-implied volatility for Put Option for 720 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "implied_volatility_put_90", |
||||
"description": "At-the-money option-implied volatility for Put Option for 90 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_10", |
||||
"description": "Parkinson model's historical volatility over 2 weeks", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_120", |
||||
"description": "Parkinson model's historical volatility over 120 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_150", |
||||
"description": "Parkinson model's historical volatility over 150 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_180", |
||||
"description": "Parkinson model's historical volatility over 180 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_20", |
||||
"description": "Parkinson model's historical volatility over 20 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_30", |
||||
"description": "Parkinson model's historical volatility over 30 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_60", |
||||
"description": "Parkinson model's historical volatility over 60 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "parkinson_volatility_90", |
||||
"description": "Parkinson model's historical volatility over 90 days", |
||||
"dataset_id": "option8", |
||||
"dataset_name": "Volatility Data", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
} |
||||
] |
||||
|
unable to load file from base commit
|
@ -1,890 +0,0 @@ |
||||
[ |
||||
{ |
||||
"id": "call_breakeven_10", |
||||
"description": "Price at which a stock's call options with expiration 10 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_1080", |
||||
"description": "Price at which a stock's call options with expiration 1080 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_120", |
||||
"description": "Price at which a stock's call options with expiration 120 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_150", |
||||
"description": "Price at which a stock's call options with expiration 150 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_180", |
||||
"description": "Price at which a stock's call options with expiration 180 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_20", |
||||
"description": "Price at which a stock's call options with expiration 20 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_270", |
||||
"description": "Price at which a stock's call options with expiration 270 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_30", |
||||
"description": "Price at which a stock's call options with expiration 30 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_360", |
||||
"description": "Price at which a stock's call options with expiration 360 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_60", |
||||
"description": "Price at which a stock's call options with expiration 60 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_720", |
||||
"description": "Price at which a stock's call options with expiration 720 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "call_breakeven_90", |
||||
"description": "Price at which a stock's call options with expiration 90 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_10", |
||||
"description": "Forward price at 10 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_1080", |
||||
"description": "Forward price at 1080 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_120", |
||||
"description": "Forward price at 120 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_150", |
||||
"description": "Forward price at 150 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_180", |
||||
"description": "Forward price at 180 days derived from a synthetic long option with payoff similar to long stock + option dynamics. combination of long ATM call, and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_20", |
||||
"description": "Forward price at 20 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_270", |
||||
"description": "Forward price at 270 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_30", |
||||
"description": "Forward price at 30 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_360", |
||||
"description": "Forward price at 360 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_60", |
||||
"description": "Forward price at 60 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_720", |
||||
"description": "Forward price at 720 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "forward_price_90", |
||||
"description": "Forward price at 90 days derived from a synthetic long option with payoff similar to long stock + option dynamics. Combination of long ATM call and short ATM put.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_10", |
||||
"description": "Price at which a stock's options with expiration 10 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_1080", |
||||
"description": "Price at which a stock's options with expiration 1080 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_120", |
||||
"description": "Price at which a stock's options with expiration 120 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_150", |
||||
"description": "Price at which a stock's options with expiration 150 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_180", |
||||
"description": "Price at which a stock's options with expiration 180 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_20", |
||||
"description": "Price at which a stock's options with expiration 20 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_270", |
||||
"description": "Price at which a stock's options with expiration 270 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_30", |
||||
"description": "Price at which a stock's options with expiration 30 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_360", |
||||
"description": "Price at which a stock's options with expiration 360 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_60", |
||||
"description": "Price at which a stock's options with expiration 60 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_720", |
||||
"description": "Price at which a stock's options with expiration 720 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "option_breakeven_90", |
||||
"description": "Price at which a stock's options with expiration 90 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_10", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 10 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_1080", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 1080 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_120", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 120 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_150", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 150 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_180", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 180 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_20", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 20 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_270", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 270 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_30", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 30 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_360", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 360 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_60", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 60 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_720", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 720 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_90", |
||||
"description": "Ratio of put open interest to call open interest on a stock's options with expiration 90 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_oi_all", |
||||
"description": "Ratio of put open interest to call open interest for all maturities on stock's options.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_10", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 10 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_1080", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 1080 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_120", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 120 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_150", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 150 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_180", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 180 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_20", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 20 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_270", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 270 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_30", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 30 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_360", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 360 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_60", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 60 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_720", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 720 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_90", |
||||
"description": "Ratio of put volume to call volume on a stock's options with expiration 90 days in the future.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "pcr_vol_all", |
||||
"description": "Ratio of put volume to call volume for all maturities on stock's options.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_10", |
||||
"description": "Price at which a stock's put options with expiration 10 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_1080", |
||||
"description": "Price at which a stock's put options with expiration 1080 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_120", |
||||
"description": "Price at which a stock's put options with expiration 120 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_150", |
||||
"description": "Price at which a stock's put options with expiration 150 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_180", |
||||
"description": "Price at which a stock's put options with expiration 180 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_20", |
||||
"description": "Price at which a stock's put options with expiration 20 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_270", |
||||
"description": "Price at which a stock's put options with expiration 270 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_30", |
||||
"description": "Price at which a stock's put options with expiration 30 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_360", |
||||
"description": "Price at which a stock's put options with expiration 360 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_60", |
||||
"description": "Price at which a stock's put options with expiration 60 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_720", |
||||
"description": "Price at which a stock's put options with expiration 720 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "put_breakeven_90", |
||||
"description": "Price at which a stock's put options with expiration 90 days in the future break even based on its recent bid/ask mean.", |
||||
"dataset_id": "option9", |
||||
"dataset_name": "Options Analytics", |
||||
"category_id": "option", |
||||
"category_name": "Option", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
} |
||||
] |
||||
|
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|
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@ -1,278 +0,0 @@ |
||||
[ |
||||
{ |
||||
"id": "adv20", |
||||
"description": "Average daily volume in past 20 days", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "cap", |
||||
"description": "Daily market capitalization (in millions)", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "close", |
||||
"description": "Daily close price", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "country", |
||||
"description": "Country grouping", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "GROUP" |
||||
}, |
||||
{ |
||||
"id": "currency", |
||||
"description": "Currency", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "GROUP" |
||||
}, |
||||
{ |
||||
"id": "cusip", |
||||
"description": "CUSIP Value", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "SYMBOL" |
||||
}, |
||||
{ |
||||
"id": "dividend", |
||||
"description": "Dividend", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "exchange", |
||||
"description": "Exchange grouping", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "GROUP" |
||||
}, |
||||
{ |
||||
"id": "high", |
||||
"description": "Daily high price", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "industry", |
||||
"description": "Industry grouping", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "GROUP" |
||||
}, |
||||
{ |
||||
"id": "isin", |
||||
"description": "ISIN Value", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "SYMBOL" |
||||
}, |
||||
{ |
||||
"id": "low", |
||||
"description": "Daily low price", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "market", |
||||
"description": "Market grouping", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "GROUP" |
||||
}, |
||||
{ |
||||
"id": "open", |
||||
"description": "Daily open price", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "returns", |
||||
"description": "Daily returns", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "sector", |
||||
"description": "Sector grouping", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "GROUP" |
||||
}, |
||||
{ |
||||
"id": "sedol", |
||||
"description": "Sedol", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "SYMBOL" |
||||
}, |
||||
{ |
||||
"id": "sharesout", |
||||
"description": "Daily outstanding shares (in millions)", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
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"id": "split", |
||||
"description": "Stock split ratio", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "subindustry", |
||||
"description": "Subindustry grouping", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "GROUP" |
||||
}, |
||||
{ |
||||
"id": "ticker", |
||||
"description": "Ticker", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "SYMBOL" |
||||
}, |
||||
{ |
||||
"id": "volume", |
||||
"description": "Daily volume", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "vwap", |
||||
"description": "Daily volume weighted average price", |
||||
"dataset_id": "pv1", |
||||
"dataset_name": "Price Volume Data for Equity", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
} |
||||
] |
||||
|
unable to load file from base commit
|
@ -1,218 +0,0 @@ |
||||
[ |
||||
{ |
||||
"id": "scl12_alltype_buzzvec", |
||||
"description": "sentiment volume", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "scl12_alltype_sentvec", |
||||
"description": "sentiment", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "scl12_alltype_typevec", |
||||
"description": "instrument type index", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "scl12_buzz", |
||||
"description": "relative sentiment volume", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "scl12_buzz_fast_d1", |
||||
"description": "relative sentiment volume", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "scl12_buzzvec", |
||||
"description": "sentiment volume", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "scl12_sentiment", |
||||
"description": "sentiment", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "scl12_sentiment_fast_d1", |
||||
"description": "sentiment", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "scl12_sentvec", |
||||
"description": "sentiment", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "scl12_typevec", |
||||
"description": "instrument type index", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "VECTOR" |
||||
}, |
||||
{ |
||||
"id": "snt_buzz", |
||||
"description": "negative relative sentiment volume, fill nan with 0", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_buzz_bfl", |
||||
"description": "negative relative sentiment volume, fill nan with 1", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_buzz_bfl_fast_d1", |
||||
"description": "negative relative sentiment volume, fill nan with 1", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_buzz_fast_d1", |
||||
"description": "negative relative sentiment volume, fill nan with 0", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_buzz_ret", |
||||
"description": "negative return of relative sentiment volume", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_buzz_ret_fast_d1", |
||||
"description": "negative return of relative sentiment volume", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_value", |
||||
"description": "negative sentiment, fill nan with 0", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_value_fast_d1", |
||||
"description": "negative sentiment, fill nan with 0", |
||||
"dataset_id": "socialmedia12", |
||||
"dataset_name": "Sentiment Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
} |
||||
] |
||||
|
unable to load file from base commit
|
@ -1,26 +0,0 @@ |
||||
[ |
||||
{ |
||||
"id": "snt_social_value", |
||||
"description": "Z score of sentiment", |
||||
"dataset_id": "socialmedia8", |
||||
"dataset_name": "Social Media Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
}, |
||||
{ |
||||
"id": "snt_social_volume", |
||||
"description": "Normalized tweet volume", |
||||
"dataset_id": "socialmedia8", |
||||
"dataset_name": "Social Media Data for Equity", |
||||
"category_id": "socialmedia", |
||||
"category_name": "Social Media", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "MATRIX" |
||||
} |
||||
] |
||||
|
unable to load file from base commit
|
@ -1,62 +0,0 @@ |
||||
[ |
||||
{ |
||||
"id": "top1000", |
||||
"description": "20140630", |
||||
"dataset_id": "univ1", |
||||
"dataset_name": "Universe Dataset", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "UNIVERSE" |
||||
}, |
||||
{ |
||||
"id": "top200", |
||||
"description": "20140630", |
||||
"dataset_id": "univ1", |
||||
"dataset_name": "Universe Dataset", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "UNIVERSE" |
||||
}, |
||||
{ |
||||
"id": "top3000", |
||||
"description": "20140630", |
||||
"dataset_id": "univ1", |
||||
"dataset_name": "Universe Dataset", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "UNIVERSE" |
||||
}, |
||||
{ |
||||
"id": "top500", |
||||
"description": "20140630", |
||||
"dataset_id": "univ1", |
||||
"dataset_name": "Universe Dataset", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "UNIVERSE" |
||||
}, |
||||
{ |
||||
"id": "topsp500", |
||||
"description": "20140630", |
||||
"dataset_id": "univ1", |
||||
"dataset_name": "Universe Dataset", |
||||
"category_id": "pv", |
||||
"category_name": "Price Volume", |
||||
"region": "USA", |
||||
"delay": 1, |
||||
"universe": "TOP3000", |
||||
"type": "UNIVERSE" |
||||
} |
||||
] |
||||
Loading…
Reference in new issue