Forecasting LSTM: Free MT5 Expert Advisor

Overview

Forecasting LSTM operates by triggering an external Python script every hour to perform incremental learning and generate price predictions. The robot enters trades when predicted price levels deviate significantly from the current market price, provided there is sufficient free margin. It requires a local Python environment with TensorFlow, Keras, and MetaTrader5 libraries. The README is minimal, and trade management features like stop loss or trailing are not explicitly detailed in the provided code.

LSTM neural network forecasting

External Python script integration

Hourly incremental learning

Automated trade execution

Details

Author

frkn2076 on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

AI / machine learning

Markets

Forex

Timeframes

M15-H1

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.

EA files

forecast.mq5

Source

github.com/frkn2076/Forecasting

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone frkn2076/Forecasting from GitHub, and unzip it.

2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.

3Copy the filesCopy the .mq5 file into Experts.

4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.

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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