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
YouTube Trading Strategy Collection
This MetaTrader 5 collection features automated implementations of trading strategies sourced from YouTube for the purpose of backtesting and verification.
GitHub stars1
Forks0
Last update3 years ago12 May 2023
LicenceMIT
Overview
The repository includes multiple expert advisors, such as a MACD-based robot and an implementation of the 97 percent transparent trader strategy. These tools utilize technical indicators including Moving Averages, MACD, and custom ATR filters to identify entries. The code includes modular libraries for trade and position management. As an experimental project, the repository is designed for users interested in fact-checking popular online trading claims.
- MACD and Moving Average crossover logic
- ATR-based volatility filtering
- Modular position management libraries
- Multi-strategy experimental framework
Details
Author
Kasra-Saeid on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
Indicator crossover, Trend following, Multi-strategy
Markets
Any symbol
Timeframes
H4 and above
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
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone Kasra-Saeid/youtube-experts 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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