Framework & template · MT5

Mql Framework EA

by lvhaiyang

This MetaTrader 5 expert advisor serves as a template and demonstration for automated trading systems.

GitHub stars1
Forks2
Last update5 years ago30 Jan 2021
LicenceNone stated

Overview

Mql Framework EA implements a basic moving average crossover strategy using two configurable periods to determine market entries. The code is structured around a custom trading class that provides utility functions for analyzing historical deal data, including profit tracking and consecutive loss counts. It supports fixed lot sizing and is designed for multi-currency environments. The documentation is minimal, as the repository primarily functions as a code framework for developers to extend.

Details

Author

lvhaiyang on GitHub

Type

Framework & template

Platform

MetaTrader 5 (MQL5)

Strategy

Indicator crossover, Hedging

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

  • Holds opposite positions at once
  • Trades without a fixed stop loss

Input parameters

Read from mt5_ea_demo.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
input_lotsdouble0.01仓位
input_ma_period1int10MA短周期
input_ma_period2int50MA长周期

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone lvhaiyang/mql_framework 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.
  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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