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This repository provides a collection of Expert Advisors for MetaTrader 5 and Python trading scripts developed for an educational YouTube series. It features various technical indicator-based strategies, including MACD, Relative Strength Index, Stochastic, and Bollinger Bands. The included MQL5 files implement multi-ti
Collection · MT5
AI Quant Strategy Lab
This MetaTrader 5 framework provides a suite of expert advisors optimized for Gold trading using advanced signal processing.
GitHub stars1
Forks0
Last update5 months ago9 Apr 2026
LicenceMIT
Overview
AI Quant Strategy Lab employs a Hidden Markov Model to classify the market into five regimes, filtering entries based on current volatility and trend strength. The logic utilizes Gaussian IIR filters for lag-reduced signal generation. The system manages a portfolio of sub-strategies including trend-following and pullback entries, protected by fixed dollar stop losses, ATR-based volatility filters, and automated kill switches for loss streaks. It exits trades on regime shifts or hit targets, using fixed lot sizing for risk management.
- Gaussian IIR filter signal processing
- Hidden Markov Model regime classification
- Multi-strategy portfolio management
- Automated loss streak kill switches
- ATR-based volatility regime filtering
Details
Author
Vinu-Kevin-Diesel on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
Trend following, Mean reversion, AI / machine learning, Multi-strategy
Markets
Gold
Timeframes
M15-H1, H4 and above
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 Gold_HMM_Portfolio_EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpFixedLot | double | 0.01 | |
InpMaxSLDollars | double | 30.0 | |
InpMinATR | double | 0.50 | |
InpRegimeCooldown | int | 48 | Bars to wait after regime change |
InpCloseOnFlip | bool | true | Close positions on bull↔bear flip |
InpROCPeriod | int | 20 | Rate of change period |
InpATRAvgPeriod | int | 50 | ATR average period for vol regime |
InpVolExpandMult | double | 1.3 | Volatility expanding if ATR > avg * this |
InpB_GaussPeriod | int | 80 | |
InpB_GaussPoles | int | 4 | |
InpB_FastEMA | int | 21 | |
InpB_SlowEMA | int | 50 |
Show all 34 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpB_SLMult | double | 1.5 | |
InpB_TPMult | double | 5.0 | |
InpB_RSIOB | double | 80.0 | |
InpB_RSIOS | double | 20.0 | |
InpB_Magic | int | 889970 | |
InpMF_GaussPeriod | int | 80 | |
InpMF_GaussPoles | int | 4 | |
InpMF_SLMult | double | 2.0 | |
InpMF_TPMult | double | 4.0 | |
InpMF_RSIOB | double | 80.0 | |
InpMF_RSIOS | double | 28.0 | |
InpMF_ADXMin | double | 20.0 | |
InpMF_MinBodyATR | double | 0.4 | |
InpMF_EMATrend | int | 200 | |
InpMF_Magic | int | 889971 | |
InpGM_GaussPeriod | int | 80 | |
InpGM_GaussPoles | int | 4 | |
InpGM_SLMult | double | 2.5 | |
InpGM_TPMult | double | 5.0 | |
InpGM_RSIOB | double | 80.0 | |
InpGM_RSIOS | double | 28.0 | |
InpGM_Magic | int | 889972 |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone Vinu-Kevin-Diesel/AI-Quant-Strategy-Lab 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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