Framework & template · MT4 · MT5

Algogene MetaTrader DLL

by algogene-fintech

This repository provides a framework and example Expert Advisors that bridge MetaTrader 4 and MetaTrader 5 with the Algogene platform.

GitHub stars3
Forks0
Last update4 years ago8 Jul 2022
LicenceNone stated

Overview

Algogene MetaTrader DLL utilizes external dynamic-link libraries to establish a WebSocket connection, allowing the system to receive tailored trading signals from Algogene servers for trade entries. Additionally, it uses REST API endpoints to publish records of open and closed trades back to the Algogene account for analysis. The provided files demonstrate how to integrate external signal fetching and trade logging into custom trading robots. Notably, this tool requires users to enable DLL imports in the MetaTrader platform to function correctly.

Details

Author

algogene-fintech on GitHub

Type

Framework & template

Platform

MetaTrader 4 (MQL4) and MetaTrader 5 (MQL5)

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.

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone algogene-fintech/metatrader_dll 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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