Collection · MT4

MQL4 Tutorial Collection

by a-forghani-y79

This MetaTrader 4 repository serves as a research and development environment for MQL4 algorithmic trading.

GitHub stars2
Forks1
Last update3 years ago5 Jan 2023
LicenceNone stated

Overview

MQL4 Tutorial Collection includes multiple experimental files focusing on pivot point identification and volume-based price analysis. The code explores custom data structures for price action and seeks to implement specific strategies like the Javad Strategy. The README is minimal, and the included experts appear to be in various stages of development, primarily serving as a learning framework for price chunking, volume scoring, and pivot detection across different market conditions.

Details

Author

a-forghani-y79 on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Multi-strategy

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.

Input parameters

Read from PivotFinder.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
checkFromint2
checkUntilint100
scoreVolumeMindouble1
scoreVolumeMaxdouble100
priceChunkCountint10

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone a-forghani-y79/MQL4Tutorial from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
  3. 3Copy the filesCopy the .mq4 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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