Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks
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Verified Data Provider| # | CALCULATION_DATE |
SHARE_CLASS_FIGI |
COMPOSITE_FIGI |
PRIMARY_EXCHANGE_CODE |
ML_ALPHA |
||
|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx |
| 2 | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 3 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 5 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 6 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
| 8 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 9 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 10 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
| # | CALCULATION_DATE |
SHARE_CLASS_FIGI |
COMPOSITE_FIGI |
PRIMARY_EXCHANGE_CODE |
ML_ALPHA |
||
|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx |
| 2 | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 3 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 5 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 6 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
| 8 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 9 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 10 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
| # | CALCULATION_DATE |
SHARE_CLASS_FIGI |
COMPOSITE_FIGI |
PRIMARY_EXCHANGE_CODE |
ML_ALPHA |
||
|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx |
| 2 | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 3 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 5 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 6 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
| 8 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 9 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 10 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
| # | CALCULATION_DATE |
SHARE_CLASS_FIGI |
COMPOSITE_FIGI |
PRIMARY_EXCHANGE_CODE |
ML_ALPHA |
||
|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx |
| 2 | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 3 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 5 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 6 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
| 8 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 9 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 10 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
| # | CALCULATION_DATE |
SHARE_CLASS_FIGI |
COMPOSITE_FIGI |
PRIMARY_EXCHANGE_CODE |
ML_ALPHA |
||
|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx |
| 2 | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 3 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 5 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 6 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
| 8 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 9 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 10 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
CALCULATION_DATE
|
DateTime | 2022-08-26T00:00:00+00:00 | |
|
SHARE_CLASS_FIGI
|
String | BBG001SDD3P0 | |
|
COMPOSITE_FIGI
|
String | BBG000BVVR77 | |
| String | LDO | Stock Ticker | |
|
PRIMARY_EXCHANGE_CODE
|
String | IM | |
| String | ITALY | Country Name | |
|
ML_ALPHA
|
Float | 0.040641 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
CALCULATION_DATE
|
DateTime | 2022-08-26T00:00:00+00:00 | |
|
SHARE_CLASS_FIGI
|
String | BBG001SDDWL0 | |
|
COMPOSITE_FIGI
|
String | BBG000C0TD50 | |
| String | INVP | Stock Ticker | |
|
PRIMARY_EXCHANGE_CODE
|
String | LN | |
| String | UK | Country Name | |
|
ML_ALPHA
|
Float | 0.043057 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
CALCULATION_DATE
|
DateTime | 2022-08-26T00:00:00+00:00 | |
|
SHARE_CLASS_FIGI
|
String | BBG001S69SH4 | |
|
COMPOSITE_FIGI
|
String | BBG000BCGY80 | |
| String | FR | Stock Ticker | |
|
PRIMARY_EXCHANGE_CODE
|
String | FP | |
| String | FRANCE | Country Name | |
|
ML_ALPHA
|
Float | 0.045266 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
CALCULATION_DATE
|
DateTime | 2022-08-26T00:00:00+00:00 | |
|
SHARE_CLASS_FIGI
|
String | BBG001S69KM5 | |
|
COMPOSITE_FIGI
|
String | BBG000BC9V66 | |
| String | SPM | Stock Ticker | |
|
PRIMARY_EXCHANGE_CODE
|
String | IM | |
| String | ITALY | Country Name | |
|
ML_ALPHA
|
Float | 0.050925 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
CALCULATION_DATE
|
DateTime | 2022-08-26T00:00:00+00:00 | |
|
SHARE_CLASS_FIGI
|
String | BBG001S699S4 | |
|
COMPOSITE_FIGI
|
String | BBG000BC7QR6 | |
| String | RHM | Stock Ticker | |
|
PRIMARY_EXCHANGE_CODE
|
String | GY | |
| String | GERMANY | Country Name | |
|
ML_ALPHA
|
Float | 0.06807 |
Description
Geography
History
Volume
| 1,000 | stocks covered |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
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Frequently asked questions
What is Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks?
Brain Machine Learning Stock Rankings are generated daily and based on the predicted future returns of a dynamic universe of the largest 600 European stocks across four time horizons: 2,3, 5, 10 and 21 days.
What is Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks used for?
This product has 5 key use cases. Brain Company recommends using the data for Alpha Generation, stock ranking, Stock Selection, long short investment, and Stock Picking. Global businesses and organizations buy Stock Market Data from Brain Company to fuel their analytics and enrichment.
Who can use Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Stock Market Data. Get in touch with Brain Company to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks go?
This Tabular Data has 10 years of historical coverage. It can be delivered on a daily basis.
Which countries does Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks cover?
This product includes data covering 15 countries like USA, Germany, United Kingdom, France, and Italy. Brain Company is headquartered in Italy.
How much does Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks cost?
Pricing information for Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks is available by getting in contact with Brain Company. Connect with Brain Company to get a quote and arrange custom pricing models based on your data requirements.
How can I get Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks?
Businesses can buy Stock Market Data from Brain Company and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Brain Company can deliver this product in .csv format.
What is the data quality of Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks?
You can compare and assess the data quality of Brain Company using Datarade’s data marketplace.
What are similar products to Brain Machine Learning Stock Ranking - A.I. Ranking for 600 Largest European Stocks?
This Tabular Data has 3 related products. These alternatives include Brain Machine Learning Stock Ranking - A.I. Ranking for 1000 Largest US Stocks, EDI Global End-of-Day/Closing Price Data for Stocks Shares, Equities from Over 170 Exchanges Worldwide. History/Time Series available, and Cbonds: Stock market data API - Global Coverage, 150 pricing sources find Price and Quote. You can compare the best Stock Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.