XGBoost FX Trading leverages pre-trained XGBoost models to identify trade opportunities based on technical features such as Average True Range, Bears Power, and Bulls Power indicators. The robot monitors price action using moving average filters before querying the model for buy or sell signals. Trade management is handled through automated trailing stops and take profit targets. Users must maintain a local R installation to facilitate the data exchange between platforms.
1Download the sourceUse "Download source (.zip)" above, or clone ytanaka6174/fx_trading 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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