Collection · MT4

AlgoTrading MQL Collection

by AnketKohak

This repository contains a collection of Expert Advisors and trading tools developed for the MetaTrader 4 platform.

GitHub stars2
Forks0
Last update1 year ago26 Dec 2024
LicenceNone stated

Overview

AlgoTrading MQL Collection features multiple standalone scripts implementing classic technical strategies, including Ichimoku Cloud trend following, Moving Average crossovers, and momentum-based entries using RSI or MACD. The Expert Advisors automate market entry and exit based on predefined indicator conditions. Risk management is typically limited to fixed lot sizes and basic stop-loss parameters defined within the code. The library serves as a resource for traders looking to automate standard technical analysis setups.

Details

Author

AnketKohak on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Trend following, Indicator crossover, Mean reversion, Multi-strategy

Markets

Forex, Crypto, Oil & commodities

Timeframes

M15-H1, H4 and above

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.

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone AnketKohak/AlgoTrading 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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