Collection · MT5

MT5 Docker EA Collection

by vmlellis

This repository provides a collection of standard MetaTrader 5 expert advisors bundled within a Docker container environment.

GitHub stars46
Forks20
Last update9 years ago12 Feb 2017
LicenceNone stated

Overview

MT5 Docker EA Collection includes classic MetaQuotes examples such as the MACD Sample and Moving Average, which execute trades based on technical indicator crossovers and trend filters. The primary MACD expert features automated entry and exit logic using signal levels and moving average periods. It includes risk controls for fixed lot sizing, take profit targets, and trailing stop levels. The repository serves as a functional collection for users looking to deploy automated strategies within containerized trading systems.

Details

Input parameters

Read from MACD Sample.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
InpLotsdouble0.1Lots
InpTakeProfitint50Take Profit (in pips)
InpTrailingStopint30Trailing Stop Level (in pips)
InpMACDOpenLevelint3MACD open level (in pips)
InpMACDCloseLevelint2MACD close level (in pips)
InpMATrendPeriodint26MA trend period

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone vmlellis/mt5-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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