Adaptive Forex AI Trader is a MetaTrader 4 expert advisor designed for automated trading across various currency pairs and gold. It incorporates machine learning, candlestick pattern recognition, and multi-timeframe analysis to generate trade signals. Risk is controlled through stop loss and take profit levels, a trail
Trading robot · MT4
Deep Q-Learning Martingale Bot
This MetaTrader 4 expert advisor functions as a communication interface between the terminal and an external Python-based reinforcement learning model.
High risk
GitHub stars13
Forks3
Last update3 years ago22 Dec 2022
LicenceNone stated
Overview
Deep Q-Learning Martingale Bot utilizes deep Q-learning to determine trading actions at every price tick, passing market data through local files to the external script. The system implements a martingale lot-scaling strategy for trade management. The provided code acts primarily as a data server and command executor, while the core logic resides in the connected Python environment. Documentation is minimal, and the MQ4 file lacks user-configurable trading parameters.
- Reinforcement learning via Python bridge
- Deep Q-learning action selection
- Martingale position management
- File-based data exchange
- Real-time tick data processing
Details
Author
ehabyahia on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
AI / machine learning, Martingale
Markets
Forex
Timeframes
Any timeframe
Risk profile
- Uses martingale lot scaling: losses can grow fast
EA files
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone ehabyahia/MT4-Martingale-Bot-With-Reinforcement-Learning from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
- 3Copy the filesCopy the .mq4 file into Experts.
- 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
- 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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