This Expert Advisor for MetaTrader 5 is specifically designed for XAUUSD trading on the M1 timeframe. It utilizes a hybrid strategy combining classic technical indicators like RSI, Moving Averages, and ATR with an OpenAI API integration for signal validation. The robot features an on-chart dashboard for telemetry and i
Trading robot · MT4
XGBoost FX Trading
This expert advisor for MetaTrader 4 utilizes a bridge to the R programming environment to implement machine learning for currency trading.
GitHub stars1
Forks1
Last update8 years ago31 Jul 2018
LicenceNone stated
Overview
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.
- XGBoost machine learning integration
- R programming language bridge via mt4R
- Technical indicator feature extraction
- Automated trailing stop management
- Support for pre-trained RDA models
Details
Author
ytanaka6174 on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
AI / machine learning, Scalping, Trend following
Markets
Forex
Timeframes
M1-M5, M15-H1
Risk profile
No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.
Input parameters
Read from xgboost_ea_pattern.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
R_command | string | C:\Program Files\R\R-3.4.1\bin\i386\Rterm.exe --no-save | |
R_debuglevel | int | 2 | debug level for Rinit |
How to install it
- 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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