This MetaTrader 5 expert advisor combines technical indicators with machine learning forecasts to trade the Forex market. It uses a trend-following approach based on Exponential Moving Average crossovers, filtered by the Average Directional Index and volume confirmations. A unique feature is its integration with extern
Trading robot · MT5
AI Decision Tree MT5 Client
This MetaTrader 5 expert advisor implements a machine learning approach using a Decision Tree model to execute trades.
GitHub stars12
Forks6
Last update3 years ago21 Feb 2023
LicenceMIT
Overview
AI Decision Tree MT5 Client functions as a bridge between MetaTrader and a local Python-based server using sockets. The system utilizes MACD, RSI, and Exponential Moving Average indicators as primary data features for the neural network. It includes a dedicated data generation script to facilitate historical training. Risk management features include hardcoded stop loss and take profit levels alongside a cooldown period between trades. The repository requires an external Python environment for model execution.
- Decision Tree neural network for trade classification
- Socket communication between MT5 and Python
- Automated historical data generation tool
- Indicator-based feature engineering with MACD and RSI
- Configurable trade intervals and risk parameters
Details
Author
tHeStRyNg on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning, Indicator crossover
Markets
Any symbol
Timeframes
Any timeframe
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.
EA files
Input parameters
Read from AI_client.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
PORT | int | 8680 | Connection Port to the Server |
ADDR | string | localhost | IP Address to connect to |
num_data_to_save | int | 10 | Amount of Data to save |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone tHeStRyNg/ai_mt5_python 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.
- 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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