Collection · MT4

EA MQL4 Collection

by Yumerain

This repository provides a diverse library of expert advisors and technical indicators for MetaTrader 4.

High risk

GitHub stars151
Forks81
Last update6 years ago2 Sep 2020
LicenceNone stated

Overview

The collection includes robots utilizing moving average crossovers, MACD trend-following signals, and mean-reversion strategies based on Bollinger Bands. A notable inclusion is a Martingale robot that scales lot sizes based on KD indicator signals and fixed distance intervals. The suite also contains management tools such as an automated basket closer that exits all positions once a specific profit target is met. The documentation is minimal and focuses on technical implementations of standard trading concepts.

Details

Author

Yumerain on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Indicator crossover, Trend following, Martingale, Mean reversion, Grid

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

  • Uses martingale lot scaling: losses can grow fast
  • Opens a grid of orders: exposure builds up in a trend
  • Trades without a fixed stop loss

Topics

mq4mqleaforexautotrade

Input parameters

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

NameTypeDefaultDescription
BaseLotsdouble0.03基础手数

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone Yumerain/EA-MQL4 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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