MQL5 Beginner to Expert Collection: Free MT5 Expert Advisor

Overview

MQL5 Beginner to Expert Collection contains several standalone trading tools, including simple Bollinger Band strategies, trailing stop managers, and limit order placement utilities. The primary example uses a grid-based approach, populating the market with multiple buy and sell limit orders. It features a lot scaling mechanism where position sizes increase by a fixed multiplier, characteristic of martingale strategies. Risk controls like stop loss and take profit are integrated within the various script samples. The repository lacks a formal README.

Educational MQL5 code examples

Grid trading with limit orders

Martingale lot size scaling

Trailing stop and break-even samples

Multiple strategy implementations

Details

Author

NantipatSoftEn on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Strategy

Grid, Martingale, Scalping, Indicator crossover, Hedging

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

Uses martingale lot scaling: losses can grow fast
Opens a grid of orders: exposure builds up in a trend
Holds opposite positions at once

EA files

About 18 expert advisors in this repository. See them all on GitHub.

Source

github.com/NantipatSoftEn/MetaTreder5

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone NantipatSoftEn/MetaTreder5 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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