We are pleased to announce release of DLPAL LS, a software program for long/short equity hedge funds that use technical strategies.
Deep Learning Price Action Lab software for long/short equity (DLPAL LS) uses primitive attributes of price action, and specifically the open, high, low and close, to extract features types in an unsupervised learning mode based on general feature clusters. Then, the program uses the extracted features in supervised learning mode to identify long and short candidates in a universe of securities.
The long/short identification is based on a set of calculated features and the user has flexibility in ranking the results according to their values. The output of the program can be saved in csv format and can be further used in conjunction with trading platforms to automatically execute trades.
DLPAL LS also offers capability of generating historical files with the calculated features for all securities in a universe. These files can be used to backtest various long/short equity strategies in third party backtesting platforms. The program also generates historical files with binary targets based on the next day return and scoring files to be used with machine learning algorithms. Therefore, the output of the program can be used to implement both fixed algos based on the calculated features and also algos derived from machine learning classification.
Click here for an example of long/short equity strategy development with DLPAL.
Hedge funds can receive a free fully functional demo of DLPAL LS valid for two months. For more details and information on how to order a demo click here.