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This tool provides an interface between MetaTrader 4 or 5 and an external AI-powered analysis server. It allows users to request market evaluations from over thirty-four different AI models through a custom Node.js API bridge. The provided example expert advisor visualizes analysis results—including market trend, trade
Utility · MT5
Neural Network EA
This MetaTrader 5 expert advisor implements a single-layer neural network to generate market signals without requiring external machine learning libraries.
GitHub stars1
Forks0
Last update8 weeks ago27 Jul 2026
LicenceNone stated
Overview
Neural Network EA utilizes native MQL5 matrix and vector operations to train a model directly on historical data, using the Relative Strength Index and Bollinger Bands as primary input features. The system performs min-max normalization and backpropagation on-chart to classify potential price movements as buy or sell. While the EA visualizes signals with chart arrows and calculates prediction probabilities, it lacks automated trade execution logic and functions primarily as a research tool for on-device machine learning.
- Native MQL5 matrix and vector algebra
- Custom backpropagation and forward pass
- Indicator-based feature engineering
- On-chart signal visualization
- Detailed classification performance reporting
Details
Author
farhadmonavar on GitHub
Type
Utility
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
Input parameters
Read from NeuralNetworkEA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
LearningTF | ENUM_TIMEFRAMES | PERIOD_H1 | |
PeriodTraded | ENUM_TIMEFRAMES | PERIOD_M5 | |
MySymbol | string | EURUSD | |
HideTesterIndicator | bool | false | |
RSIPeriod | int | 14 | |
BBPeriod | int | 20 | |
BBDeviation | double | 2.0 | |
UsedBars | int | 1000 | |
RandomSeed | int | 42 | |
ActivationFx | Activation_Function | AFSigmoid | |
LossFx | Loss | MeanSquaredError | |
LearningRate | double | 0.04 |
Show all 14 inputs
| Name | Type | Default | Description |
|---|---|---|---|
Epochs | uint | 100 | |
PropThreshold | double | 0.55 | Probability threshold |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone farhadmonavar/neural-network-EA 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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