Collection · MT5

Learning MQL5 Collection

by VeerachaiPTee

This repository contains a collection of MetaTrader 5 expert advisors and scripts designed for learning and development.

High risk

GitHub stars1
Forks1
Last update2 years ago7 Feb 2024
LicenceNone stated

Overview

The included tools range from data visualization utilities like tick density heatmaps to trading strategies involving Bollinger Bands, Envelopes, and grid systems. It features management scripts for advanced trailing stops, lot size calculation, and order history tracking. Risk controls vary by specific script, including some with hard stop losses and others demonstrating grid-based order layering. The repository lacks a README, suggesting it serves as a personal codebase for MQL5 experimentation.

Details

Author

VeerachaiPTee on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Strategy

Grid, Indicator crossover, Trend following

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

  • Opens a grid of orders: exposure builds up in a trend

Input parameters

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

NameTypeDefaultDescription
TimeframeENUM_TIMEFRAMESPERIOD_H1
Candlesint100

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone VeerachaiPTee/Learning-MQL5 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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