Trading robot · MT4 · MT5

Deep Learning Visual Integration

by RainBowT0506

This expert advisor integrates MetaTrader 4 and 5 with external deep learning models using socket communication.

GitHub stars1
Forks1
Last update1 year ago28 Mar 2025
LicenceNone stated

Overview

Deep Learning Visual Integration captures chart screenshots and price data to send to an external server, where models like Random Forest or Generative Adversarial Imitation Learning process the visual information. The EA then receives and displays buy or sell signals returned by the model. It functions primarily as a data exporter and execution bridge, requiring a separate server-side environment to perform the actual machine learning predictions.

Details

Input Parameters

Read from Socket_For_Vision_Step1.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
server_portushort5555
server_ipstring127.0.0.1
MagicNumberint20190730
Slippageint2

How to Install It

  1. 1Download the sourceUse "Download source (.zip)" above, or clone RainBowT0506/MT4-Deep-Learning-Visual-Integration 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.
  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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