Collection · MT5

Metatrader 5 Docker Collection

by ejtraderLabs

This repository provides a containerized environment for MetaTrader 5 using Docker, Alpine Linux, and Wine64.

High risk

GitHub stars167
Forks74
Last update1 year ago19 May 2025
LicenceNone stated

Overview

Metatrader 5 Docker Collection includes a VNC server with an Openbox GUI for remote management and features Python integration via pyzmq for data feeding. The collection includes various MetaTrader 5 expert advisors, ranging from a 3D correlation matrix visualization tool to automated robots based on candlestick patterns like Engulfing and Harami. These tools allow users to monitor symbol correlations and execute trades based on technical indicators including RSI, CCI, and Stochastic oscillators. The project facilitates running MetaTrader in headless or remote server environments.

Details

Input parameters

Read from Correlation Matrix 3D.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
InpBackgroundcolorclrWhiteSmokeBackground color
InpStartDatedatetimeD'01.01.2015'
InpFinishDatedatetimeD'01.11.2019'
InpSymbolsListstringEURUSD,EURGBP,EURCHF,EURJPY,GBPUSD,GBPCHF,GBPJPY,USDCHF,USDJ

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone ejtraderLabs/Metatrader5-Docker from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 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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