Framework & template · MT5

MQL5 Skill EA Template

by ductri-dev

This MetaTrader 5 expert advisor provides a foundational template for developing automated trading robots using standard MQL5 classes.

GitHub stars2
Forks0
Last update2 months ago15 Jul 2026
LicenceNone stated

Overview

MQL5 Skill EA Template features a basic crossover strategy where trades are triggered when the price crosses a Moving Average on the close of a candle. The system includes a tick freshness check to prevent execution on stale data and utilizes the CTrade class for position management. Risk management is limited in this base version, as it lacks default stop loss or take profit inputs. The repository is primarily intended as a coding framework.

Details

Author

ductri-dev on GitHub

Type

Framework & template

Platform

MetaTrader 5 (MQL5)

Strategy

Indicator crossover

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

  • Trades without a fixed stop loss

Input parameters

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

NameTypeDefaultDescription
InpLotSizedouble0.1
InpMagicNumberlong12345
InpMarketOpenMaxTickAgeSecint600 = disable tick freshness check
InpMaPeriodint20
InpMaMethodENUM_MA_METHODMODE_EMA
InpMaPriceENUM_APPLIED_PRICEPRICE_CLOSE

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone ductri-dev/mql5-ea-skill 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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