This repository provides a collection of Expert Advisors for MetaTrader 5 and Python trading scripts developed for an educational YouTube series. It features various technical indicator-based strategies, including MACD, Relative Strength Index, Stochastic, and Bollinger Bands. The included MQL5 files implement multi-ti
Collection · MT5
Itunu Trading Automation Portfolio
This collection for MetaTrader 5 provides a series of tools focused on Exponential Moving Average crossovers and trend identification.
GitHub stars2
Forks0
Last update5 months ago22 Apr 2026
LicenceNone stated
Overview
The primary scripts monitor the relationship between fast and slow EMAs to generate visual signals, marking the chart with vertical lines and arrows when a crossover or retest occurs. It includes functionality for historical signal backfilling, allowing users to review past events over several thousand days. The repository serves as a visual signal generator and utility collection rather than an automated trader, as it lacks order execution and risk management logic.
- Fast and slow EMA crossover detection
- Historical signal backfilling for visual backtesting
- Real-time visual chart markers and alerts
- Global variable management utility for VPS maintenance
Details
Author
E2nuu on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
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 EMACrossSignals.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
FastEMAPeriod | int | 4 | Trend Fast EMA |
SlowEMAPeriod | int | 100 | Trend Slow EMA |
RetestEMAPeriod | int | 100 | Retest EMA (your EA logic) |
SignalTF | ENUM_TIMEFRAMES | PERIOD_M15 | |
LookbackDays | int | 3000 |
How to Install It
- 1Download the sourceUse "Download source (.zip)" above, or clone E2nuu/itunu-automation-portfolio from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
- 3Copy the filesCopy the .mq5 file into Experts.
- 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
- 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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