Quantum Alpha MT5 ONNX: Free MT5 Expert Advisor

Overview

Quantum Alpha MT5 ONNX features multiple trading modes including Order Blocks, market structure analysis, and a hybrid AI strategy using neural network predictions trained in PyTorch. The system incorporates comprehensive risk management such as daily loss limits, equity protection, and news filters. Trade execution is refined through session filters, volume analysis, and weekend gap protection. In-house model training is required using provided Python scripts for the AI component.

Native ONNX machine learning inference

Smart Money Concepts and Order Block detection

Multi-session and high-impact news filtering

Daily loss and drawdown protection settings

Volume-weighted entry filters

Details

Author

yole-shop-oficial on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

SMC / ICT / price action, AI / machine learning, Trend following, Multi-strategy, Martingale

Markets

Forex, Gold, Crypto

Timeframes

M1-M5, M15-H1

Risk profile

Uses martingale lot scaling: losses can grow fast

EA files

Source

github.com/yole-shop-oficial/Quant-Alpha-MT5-ONNX

Input parameters

Read from EA_QuantumElite_Pro.mq5. Defaults are the author's; change them in the EA's Inputs tab.

Name	Type	Default
`InpPreset`	`ENUM_PRESET`	`PRESET_CUSTOM`
`InpMagicNumber`	`long`	`20250425`
`InpComment`	`string`	`EA_Elite_v5`
`InpStrategy`	`ENUM_STRATEGY_TYPE`	`STRAT_ORDER_BLOCKS`
`InpSignalMode`	`ENUM_SIGNAL_MODE`	`SIGNAL_CLOSE_BAR`
`InpTimeframe`	`ENUM_TIMEFRAMES`	`PERIOD_M15`
`InpEnableVisuals`	`bool`	`true`
`InpLogLevel`	`ENUM_LOG_LEVEL`	`LOG_INFO`
`InpExportCSV`	`bool`	`true`
`InpRiskPercent`	`double`	`1.0`
`InpMaxPosPerSymbol`	`int`	`1`
`InpMaxPosTotal`	`int`	`3`

Show all 40 inputs

Name	Type	Default
`InpMaxSpreadPips`	`double`	`2.0`
`InpSlippagePts`	`int`	`30`
`InpMaxLosses`	`int`	`4`
`InpMaxDDPercent`	`double`	`15.0`
`InpMaxRetries`	`int`	`3`
`InpMaxSlippagePips`	`double`	`1.5`
`InpDailyLossLimit`	`double`	`5.0`
`InpDailyProfitTarget`	`double`	`3.0`
`InpMaxDailyTrades`	`int`	`5`
`InpAutoAdaptRisk`	`bool`	`true`
`InpMinTradesForAdapt`	`int`	`10`
`InpTradingSession`	`ENUM_TRADING_SESSION`	`SESSION_LONDON_NY_OVERLAP`
`InpUseSessionFilter`	`bool`	`true`
`InpSessionGMTOffset`	`int`	`2`
`InpVolumeFilter`	`ENUM_VOLUME_FILTER`	`VOL_FILTER_ABOVE_AVERAGE`
`InpVolumePeriod`	`int`	`20`
`InpVolumeMultiplier`	`double`	`1.2`
`InpNewsFilter`	`ENUM_NEWS_FILTER`	`NEWS_FILTER_HIGH`
`InpNewsMinutesBefore`	`int`	`30`
`InpNewsMinutesAfter`	`int`	`15`
`InpWeekendGapProtect`	`bool`	`true`
`InpWeekendGapPipsThreshold`	`double`	`30.0`
`InpFridayCloseHour`	`int`	`21`
`InpSundayOpenHour`	`int`	`0`
`InpOBSwingLength`	`int`	`5`
`InpOBMinStrength`	`int`	`3`
`InpOBMaxAge`	`int`	`50`
`InpOBZoneBuffer`	`double`	`0.0002`

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone yole-shop-oficial/Quant-Alpha-MT5-ONNX 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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