Copier & bridge · MT4 · MT5

Hitback ZMQ Bridge

by EricSchles

This expert advisor functions as a data bridge for streaming real-time market information from MetaTrader 4 and 5 to external applications.

GitHub stars59
Forks37
Last update6 years ago8 Jan 2020
LicenceApache-2.0

Overview

Hitback ZMQ Bridge utilizes the ZeroMQ library to transmit price ticks and order book updates to a remote server. The tool is intended for developers building quantitative trading platforms or data pipelines using external environments such as Python, Kafka, or RabbitMQ. It handles string encoding conversions between MQL and UTF-8 and requires DLL imports to manage the networking layer. No trade execution or risk management is included.

Details

Author

EricSchles on GitHub

Type

Copier & bridge

Platform

MetaTrader 4 (MQL4) and MetaTrader 5 (MQL5)

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

NameTypeDefaultDescription
ip_adressstring*
prefixPortstring20

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone EricSchles/bindings-mql4-5 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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