Deep Learning Price Action Lab™
DLPAL and DLPAL PRO

Now is the right time to move to the next level of intelligent trading and use tools that only hedge fund powerhouses have at their disposal

DLPAL allows you to compete with quantitative hedge funds at the fraction of the cost.

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DLPAL identifies short-term trading strategies in historical price data that fulfill user-defined performance statistics and risk/reward parameters. The program uses primitive attributes of price action, the open, high, low and close, to extract feature types in an unsupervised learning mode. The program then uses the extracted features in supervised learning mode to identify strategies and systems of strategies that fulfill the user objectives. Historical attribute files are also created for use with supervised machine learning classifiers (PRO version.)

Save time from programming and concentrate on trading. Hedge funds would prefer that you spend your time programming instead of exploiting market anomalies and opportunities. This is how they make billions.

DLPAL
does not require any programming. Actually this program will write code you can immediately use.

DLPAL generates code for strategies and systems for the Quantopian platform, Tradestation (EasyLanguage), Multicharts (EasyLanguage), NinjaTrader 7 and Amibroker AFL. Testing trading strategies derived from price action using advanced machine learning is just a copy and paste away.

FREE DEMO

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THE CROWDS ARE STILL STRUGGLING WITH METHODS THAT NO LONGER WORK IN THE MARKETS.

With DLPAL you can compete with the quant departments of large hedge funds that have been making billions in trading profits because of their ability to quickly identify and exploit anomalies in price action.

Identifying and exploiting anomalies in price action fast is the key to profitable trading.

DLPAL is based on a proprietary deep learning algorithm that produces the same output each time it encounters the same market conditions. The determinism in the algo operation and the absence of stochasticity are in compliance with the standards of scientific testing and analysis. DLPAL minimizes data-mining and data-snooping bias through the use of proprietary unsupervised learning method for feature extraction and selection. Several functions are available for validation of the results including a randomization tool for ranking the performance of strategies.

DLPAL offers three main functions and several useful tools

The User can search for strategies in historical data of any timeframe, group them into systems and generate code. DLPAL can also be used as a scanner of EOD data to determine whether new opportunities have developed. In addition, the program can calculate directional move probabilities for any number of securities in EOD and higher timeframes. DLPAL PRO generates historical data files with attributes for use with supervised machine learning classification.

FREE DEMO

PURCHASE

MANUAL

CONTACT


DLPAL MAY TURN OUT TO BE THE BEST INVESTMENT YOU EVER MADE IN TRADING SOFTWARE.
 

U.S. Government Required Disclaimer - Commodity Futures, Trading Commission Futures, Derivatives and Options trading has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures and options markets. Don't trade with money you can't afford to lose. This website is neither a solicitation nor an offer to Buy/Sell futures or options. The past performance of any trading system or methodology is not necessarily indicative of future results.

CFTC RULE 4.41 - HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFIT OR LOSSES SIMILAR TO THOSE SHOWN

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