FieldDownloader/reference_fields_bak/model16_data-fields.csv

1	name	description	dataset_id	dataset_name	category_id	category_name	region	delay	universe	type
2	analyst_revision_rank_derivative	Change in ranking for analyst revisions and momentum compared to previous period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
3	cashflow_efficiency_rank_derivative	Change in ranking for cash flow generation and profitability compared to previous period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
4	composite_factor_score_derivative	Change in overall composite factor score from the prior period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
5	earnings_certainty_rank_derivative	Change in ranking for earnings sustainability and certainty compared to previous period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
6	fscore_bfl_growth	The purpose of this metric is to qualify the expected MT growth potential of the stock.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
7	fscore_bfl_momentum	The purpose of this metric is to identify stocks which are currently undergoing either up or downward analyst revisions.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
8	fscore_bfl_profitability	The purpose of this metric is to rank stock based on their ability to generate cash flows.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
9	fscore_bfl_quality	The purpose of this metric is to measure both the sustainability and certainty of earnings.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
10	fscore_bfl_surface	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.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
11	fscore_bfl_surface_accel	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?).	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
12	fscore_bfl_total	The final score M-Score is a weighted average of both the Pentagon surface score and the Pentagon acceleration score.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
13	fscore_bfl_value	The purpose of this metric is to see if the stock is under or overpriced given several well known valuation standards.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
14	fscore_growth	The purpose of this metric is to qualify the expected MT growth potential of the stock.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
15	fscore_momentum	The purpose of this metric is to identify stocks which are currently undergoing either up or downward analyst revisions.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
16	fscore_profitability	The purpose of this metric is to rank stock based on their ability to generate cash flows.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
17	fscore_quality	The purpose of this metric is to measure both the sustainability and certainty of earnings.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
18	fscore_surface	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.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
19	fscore_surface_accel	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?).	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
20	fscore_total	The final score M-Score is a weighted average of both the Pentagon surface score and the Pentagon acceleration score.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
21	fscore_value	The purpose of this metric is to see if the stock is under or overpriced given several well known valuation standards.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
22	growth_potential_rank_derivative	Change in ranking for medium-term growth potential compared to previous period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
23	multi_factor_acceleration_score_derivative	Change in the acceleration of multi-factor score compared to previous period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
24	multi_factor_static_score_derivative	Change in static multi-factor score compared to previous period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX
25	relative_valuation_rank_derivative	Change in ranking for valuation metrics compared to previous period.	model16	Fundamental Scores	model	Model	USA	1	TOP3000	MATRIX