Collection · MT4 · MT5

MQL5 Strategy and Tool Collection

by kndnguyen

This repository provides a collection of MetaTrader 4 and MetaTrader 5 resources, including standard MetaQuotes examples and custom trading tools.

High risk

GitHub stars1
Forks0
Last update6 years ago20 Apr 2020
LicenceNone stated

Overview

A primary feature is the 3D correlation matrix utility, which uses the Canvas3D library to visualize price relationships across multiple symbols. The collection also includes grid-based trend strategies, optimized moving average experts, and MACD-based trading samples. As the repository contains no README, users must inspect individual source files to understand the specific logic and risk parameters for each component. Risk management includes grid-based order layering in specific advisors.

Details

Input parameters

Read from Correlation Matrix 3D.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
InpBackgroundcolorclrWhiteSmokeBackground color
InpStartDatedatetimeD'01.01.2015'
InpFinishDatedatetimeD'01.11.2019'
InpSymbolsListstringEURUSD,EURGBP,EURCHF,EURJPY,GBPUSD,GBPCHF,GBPJPY,USDCHF,USDJ

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone kndnguyen/MQL5 from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts or MQL5/Experts.
  3. 3Copy the filesCopy the .mq4 / .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
  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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