RL Agent Trader implements a breakout strategy based on the highest and lowest prices of previous candles. The core functionality relies on a Deep Q-Network (DQN) in Python to dynamically optimize the lookback period for entry signals and stop-loss placement. The system communicates real-time state data, including multi-timeframe price extremes, to the external agent. It manages trade execution with automated stop-loss adjustments and fixed lot sizing.
Read from ContractorAgent.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
Hostname
string
127.0.0.1
ServerPort
ushort
19968
lot
double
0.1
How to Install It
1Download the sourceUse "Download source (.zip)" above, or clone rezakarbasi/RL-agent-trader from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
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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