Trading robot · MT4

Cross MA

by Mahdi24w

This MetaTrader 4 expert advisor executes a classic moving average crossover strategy.

GitHub stars1
Forks0
Last update6 years ago24 Aug 2020
LicenceNone stated

Overview

Cross MA monitors two Simple Moving Averages with customizable periods to identify trend shifts. When the fast average crosses above the slow average, the robot initiates a buy order; a crossover below triggers a sell order. The system restricts activity to one open position at a time and applies fixed lot sizes. Each trade includes hardcoded stop loss and take profit levels set at 200 points. The project serves as a basic implementation of technical indicator-based automation.

Details

Author

Mahdi24w on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4)

Strategy

Indicator crossover, Trend following

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 crossMA.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
smallMAperiodint20
bigMAperiodint200
lotSizedouble0.01

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone Mahdi24w/MQL_crossMA 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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