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DLPAL S

DLPAL S was designed for trading strategy developers that follow systematic signals and it is easy to use. No programming necessary! In fact, DLPAL S generates code for strategies and systems of strategies.

DLPAL S identifies parameter-less strategies in historical price data that fulfill user-defined performance statistics and risk/reward parameters. These strategies are also known as price patterns. The program 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 strategies and systems of strategies that fulfill the user objectives.

DLPAL S generates code for strategies and systems for the Quantopian platform, Tradestation (EasyLanguage), Multicharts (EasyLanguage), NinjaTrader (7 and 8) and Amibroker AFL. Several validation methods are available for testing the significance of the results.

In the daily timeframe, the system tracking module of the program can be used to monitor signal generation of the strategies and systems going forward in time and as new data are available.

DLPAL S does not require any programming. The program will output signals and write code you can immediately use. Save time from programming and concentrate on your trading.

Articles about DLPAL S

DLPAL S Strategy for 10-Year Note Futures
Performance Mean-Reversion of Machine Designed Strategies
DLPAL S Deep Add-On Update
High Accuracy Predictions Are Not Always Profitable
Strategy Validation Without Out-Of-Sample Testing
ETF Portfolio Trading with DLPAL S
Announcing the Release of DLPAL S v3
Unleashing the Power of DLPAL S Price Action Anomaly Detection
Robustness Testing of Data Mining Process
Walk Forward Strategy Development
Free DLPAL Friday, July 13, 2018
Using DLPAL S to Discover Volume Patterns
Deep Search Add-on For DLPAL S
Out-Of-Sample Performance Variations
Using Portfolio Backtests To Reduce Selection Bias
Validating DLPAL S Trading Strategies On Comparable Securities
Short Volatility Strategy With Contango Filter
Developing A Trading Strategy For TLT ETF
Announcing The Release of DLPAL S v2.0
Another DLPAL Volatility Strategy
Volatility Trading Strategy
Trading Strategy For Bitcoin
Announcing DLPAL S: Quantitative Trading For All
DLPAL Strategy For GLD With Validation in TLT and SPY
DLPAL Strategy For Trading EURUSD With Backward Validation
Adjusted Vs. Unadjusted Data In Trading Strategy Development
Best Lookback Period in Position Trading With Price Patterns

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