DLPAL LS uses primitive attributes of price action 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.
DLPAL LS is used to develop algorithmic and machine learning strategies for directional and long/short trading. Users of the program can sort results based on different criteria and generate output for trading APIs. Historical files of features can be generated for backtesting the strategies and for machine learning. Click here for an article on strategy development and execution.
DLPAL LS does not require any programming. The program will output signals you can immediately use. Save time from programming and concentrate on your trading.
For generating just signals we offer a reduced functionality version that is sufficient. For more advance analysis including historical data generation for backtests, the professional version is required.
Click here for more information on downloading a demo version.
S&P 500 Equity Long/Short Performance at New Highs
Weekly Dow 30 Equity Long/Short Update
Using Different Long and Short Groups of Stocks with DLPAL LS
DLPAL LS Announcement
DLPAL LS Smoothed Features Add-on
Smoothed Features for Smoother Equity
Combining Equity Long/Short with Mean-Reversion
Equity long/short performance in January 2020
Equity Long/Short Performance as Function of Maximum Open Positions
Trading ES Futures with DLPAL LS
Equity Long-Short with Price Action Features
DLPAL LS Software with Reduced Functionality
Trade Minimum Holding Period Impact
Low Risk Equity Long/short
Combining Results of DLPAL LS and DLPAL DQ
Performance of DLPAL LS Features in 2018
A Novel Strategy
Three Long/Short Equity Strategies
Announcing The Release Of DLPAL LS v3.0
Market Neutral Long/Short Needs Few Stocks That Buck The Trend
Market Neutral Long/Short Equity Example
Market Neutral Long/Short Equity Strategies In High Demand
DLPAL LS Conservative Versus Normal Cluster
Stock Market Directional Bias Reversal
Feature Engineering With DLPAL LS
Long/Short Strategy For Dow 30 Stocks In Weekly Timeframe
Evaluation Of New DLPAL Clusters For Feature Generation
Announcing The Release Of DLPAL LS v2.0
Strategy Development And Execution With DLPAL LS
Market Neutral Long/Short Equity Strategy
Long/Short Equity Strategy Development
Announcing The Release of DLPAL LS