Collection · MT4

MQL4 Experts Collection

by GeneralTradingSarl

This repository features a vast collection of over 1,100 open-source Expert Advisors for the MetaTrader 4 platform.

High risk

GitHub stars17
Forks5
Last update4 days ago18 Sep 2026
LicenceNone stated

Overview

MQL4 Experts Collection serves as an educational library containing diverse trading strategies, including trend following, breakout, scalping, and mean-reversion systems. The collection explicitly includes high-risk methodologies such as grid and martingale lot scaling. Entries are typically based on standard indicators like moving averages, RSI, and stochastic oscillators. While many included robots feature traditional stop loss and take profit controls, the specific risk management parameters vary across the individual files. It is intended for research and backtesting purposes.

Details

Input parameters

Read from rijfie_pyramid_version_1.12.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
font_colorcolorWhite
font_sizeint12
lowleveldouble10
maxpricedouble9.50
lowpricedouble7.5
magicnumberint1600
timechartint1
maperiodint5
steplevel1double10
Profitdouble20
CloseAllboolfalse
hourint20
Show all 13 inputs
NameTypeDefaultDescription
minuteint55

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone GeneralTradingSarl/mql4_experts from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
  3. 3Copy the filesCopy the .mq4 file into Experts.
  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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