This MetaTrader 5 expert advisor implements a multi-strategy framework based on Smart Money Concepts. It identifies fractal-based liquidity sweeps, order blocks, and Fibonacci zones across multiple timeframes, typically using H4 for trend direction and M15 for execution. The EA includes an optional machine learning fil
Trading robot · MT5
ONNX Trading Models
This MetaTrader 5 expert advisor utilizes machine learning via ONNX (Open Neural Network Exchange) models to predict price movements.
GitHub stars1
Forks0
Last update9 months ago21 Jan 2026
LicenceNone stated
Overview
The system includes specialized versions for major currency pairs including AUDUSD, EURUSD, GBPUSD, and USDCHF. It employs an automated entry logic based on predicted price direction. Risk management features are comprehensive, offering ATR-based dynamic stop losses and take profits, trailing stops, and a breakeven function. It also includes Telegram notification capabilities and time-based filters for London and New York sessions.
- ONNX machine learning model integration
- ATR-based dynamic risk management
- Automated breakeven and trailing stop
- Telegram notification support
Details
Author
jsgaston on GitHub
Type
Trading robot
Platform
Strategy
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
- ONNX.audusd.H1.120.Prediction_v6_Backtesting.mq5
- ONNX.eurusd.H1.120.Prediction_v6_Backtesting.mq5
- ONNX.gbpusd.H1.120.Prediction_v6_Backtesting.mq5
- ONNX.usdchf.H1.120.Prediction_v6_Backtesting.mq5
- ONNX.audusd.H1.120.Prediction_v6.mq5
- ONNX.eurusd.H1.120.Prediction_v6.mq5
- ONNX.gbpusd.H1.120.Prediction_v6.mq5
- ONNX.usdchf.H1.120.Prediction_v6.mq5
Input Parameters
Read from ONNX.audusd.H1.120.Prediction_v6_Backtesting.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpMagicNumber | int | 123456 | Magic Number del EA |
TG_TOKEN | string | 8286372753:AAF356kUIEbZRI-Crdo4jIrXc89drKGWIWY | |
TG_CHAT | string | 5825443798 | |
InpLots | double | 0.2 | Lots amount to open position |
InpUseStops | bool | true | Use stops in trading |
InpTakeProfit | int | 500 | TakeProfit level |
InpStopLoss | int | 500 | StopLoss level |
TradeHourStart | int | 7 | Londres |
TradeHourEnd | int | 22 | |
InpUseRisk | bool | true | Usar gestión de riesgo |
InpRiskPercent | double | 1.0 | Riesgo % por trade |
InpATRPeriod | int | 14 | Periodo ATR |
Show all 20 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpSL_ATR_Mult | double | 1.5 | SL = ATR * multiplicador |
InpTP_ATR_Mult | double | 2.5 | TP = ATR * multiplicador |
InpUseTrailing | bool | true | |
InpTrail_ATR_Mult | double | 1.0 | Trailing = ATR * multiplicador |
InpUseBreakeven | bool | true | Activar Breakeven al 50% del TP |
InpBreakevenPlus | double | 5.0 | Puntos adicionales sobre el breakeven |
InpUseDynamicTP | bool | true | Activar TP dinámico |
InpTP_ReducePercent | double | 20.0 | % de reducción del TP cuando está cerca |
How to Install It
- 1Download the sourceUse "Download source (.zip)" above, or clone jsgaston/Modelos_ONNX_trading 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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