Collection ยท MT4

Pouriakouhzadeh MQL4 Collection

by pouriakouhzadeh

This repository contains a collection of over 70 Expert Advisors developed for the MetaTrader 4 platform.

GitHub stars3
Forks0
Last update3 years ago7 Mar 2023
LicenceNone stated

Overview

The primary file, NNA_Expert, utilizes DLL imports and shell execution to exchange data via CSV files, suggesting integration with external prediction engines or neural networks. Other included experts focus on Fibonacci levels, MACD forecasting, and specific currency correlations. Since the repository lacks a README, users must verify individual strategy logic within the source files. The collection provides tools for various market approaches including technical indicator crossovers and multi-currency analysis.

Details

Author

pouriakouhzadeh on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Multi-strategy, Indicator crossover

Markets

Forex

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 NNA_Expert.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
MarketPrefixstring

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone pouriakouhzadeh/MQL4 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.
  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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