The dataset includes daily single stock signals, covering the S&P 500.
The daily trading signals, can be used as overlay for your existing strategies - increasing sharpe ratio and decreasing drawdowns - or to implement new optimized strategies. These signals are generated by our proprietary machine learning models, which have been developed by our in-house Data Scientists. The underlying data on which the models are trained on to generate the signals, are of different types including security prices, trading volumes and news data.
Sample Tables:
- US Single Stocks daily selection from 2012
Fields Included:
- Date
- long_stocks_isin
- short_stocks_isin
Expected workflow:
- The Consumer can access a snowflake table with the fields described included
- The Consumer does not neet to provide any information to the data provider
- The data provider updates the snowflake table on a daily basis with new signals
- After the overnight update, the snowflake table id uptodate and the consumer can access the new generated data point
1. Consumer logs into snowflake
2. Consumer can use snowflake to access the shared snowflake database and table