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FxChartAI OpenEA is an automated trading solution for MetaTrader 5 that executes trades based on signals retrieved from the FxChartAI platform. The system operates in two modes, allowing for live API integration or historical testing using CSV datasets. It utilizes multi-timeframe analysis across M10 and H1 intervals,
Trading robot · MT5
ONNX LSTM Trading Bot
This MetaTrader 5 expert advisor employs an ONNX-integrated LSTM model to forecast price action for the EURUSD pair on the H1 timeframe.
Archived by its author
GitHub stars1
Forks0
Last update7 months ago3 Feb 2026
LicenceNone stated
Overview
ONNX LSTM Trading Bot generates trade signals by comparing neural network predictions against current market prices or previous trend forecasts. The system manages risk through fixed or ATR-based stop loss and take profit levels, a trailing stop mechanism, and a breakeven trigger. It also incorporates time-of-day filters and a bar-based exit rule to limit exposure. The absence of a README means documentation is limited to the source code comments.
- LSTM neural network price prediction
- ATR-based dynamic risk management
- Time-restricted trading window
- Automated breakeven and trailing stops
- Maximum bar duration position exit
Details
Author
winningtrendingbots on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning, Trend following
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.
Input parameters
Read from ONNX_1.0.0.4_eurusd.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpLots | double | 0.01 | |
InpMagicNumber | int | 123456 | Magic Number |
InpSignalMode | ENUM_SIGNAL_MODE | MODE_TREND | Signal generation mode |
InpUseTradingHours | bool | true | Use trading hours restriction |
InpStartHour | int | 8 | Start hour (server time) |
InpEndHour | int | 17 | End hour (server time) |
InpUseStops | bool | true | |
InpStopLoss | int | 300 | Stop Loss (points) if not dynamic |
InpTakeProfit | int | 950 | Take Profit (points) if not dynamic |
InpUseDynamicStops | bool | false | Use ATR-based stops |
InpATRMultiplierSL | double | 2.0 | ATR multiplier for SL |
InpATRMultiplierTP | double | 3.0 | ATR multiplier for TP |
Show all 26 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpUseTrailing | bool | true | |
InpTrailingStop | int | 60 | Trailing distance (points) |
InpTrailingStep | int | 70 | Trailing step (points) |
InpTrailingATR | bool | true | Use ATR for trailing |
InpTrailingATRMultiplier | double | 3.0 | |
InpUseMaxBars | bool | true | |
InpMaxBars | int | 2 | Max bars to hold position |
InpUseBreakeven | bool | false | Move SL to breakeven |
InpBreakevenTrigger | int | 100 | Trigger distance (points) |
InpBreakevenOffset | int | 10 | Offset from entry (points) |
InpMinPredictionDelta | double | 1.5 | Min delta in pips for signal (REDUCED for 24 bars) |
InpUseATRFilter | bool | false | Filter signals by ATR |
InpMinATRFilterMulti | double | 0.8 | Min delta as % of ATR (REDUCED) |
InpPrintDebugInfo | bool | true | Print debug information |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone winningtrendingbots/ONNXbot 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, and any .mqh files into the Include folder the code expects.
- 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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