LQS AI Institutional Engine is a MetaTrader 5 robot designed for trading gold using market microstructure analysis. It combines four analytical modules focusing on liquidity sweeps, order flow divergence, Wyckoff accumulation and distribution phases, and multiple anchored VWAP levels. The system features an integrated
Trading robot · MT5
Quantum AU
This automated trading robot for MetaTrader 5 is designed specifically for gold and silver markets.
High risk
GitHub stars1
Forks0
Last update10 months ago4 Nov 2025
LicenceNone stated
Overview
Quantum AU utilizes an AI-driven approach incorporating quantum state modeling and a chaos filter to identify market entries. The strategy weights inputs from RSI, ADX, and moving averages against an adaptive decision threshold. Risk management includes ATR-based dynamic stop losses and a recovery system that scales lot sizes using a risk increase factor after losses. The repository also provides a streak prevention manager, a portfolio manager, and a copy trading utility. The README is minimal.
- AI-based quantum state modeling
- Market chaos filter
- ATR-based dynamic stop loss
- Dynamic lot sizing with risk scaling
- Integrated streak prevention manager
Details
Author
jarbcs1-prog on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning, Trend following, Mean reversion, Martingale
Markets
Gold, Oil & commodities
Timeframes
M15-H1
Risk profile
- Uses martingale lot scaling: losses can grow fast
EA files
Input parameters
Read from Quantum_AU_balanced_v3.4_Recovery.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
MagicNumber | int | 11 | Magic number for CopyTrader |
QuantumStates | int | 17 | Number of quantum states [5-50] |
QuantumDecayRate | double | 0.03 | State decay rate [0.01-0.1] |
StateUpdateRate | double | 0.1 | State update rate [0.05-0.3] |
StateMemoryFactor | double | 0.9 | State memory factor [0.8-0.99] |
LearningPeriod | int | 200 | AI training period [50-500] |
AdaptiveThreshold | double | 0.65 | Decision threshold [0.55-0.75] |
RSIPeriod | int | 14 | RSI period [7-21] |
ADXPeriod | int | 14 | ADX period [10-25] |
ATRPeriodInput | int | 14 | ATR period [10-20] |
FastMAPeriodInput | int | 50 | Fast MA period [20-100] |
SlowMAPeriodInput | int | 200 | Slow MA period [100-300] |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
ChaosPeriod | int | 20 | Chaos calculation period [10-50] |
AnalysisTimeframe | ENUM_TIMEFRAMES | PERIOD_M15 | Analysis timeframe |
UseRSI | bool | true | Use RSI |
RSIWeight | double | 1.0 | RSI weight [0.1-2.0] |
UseADX | bool | true | Use ADX |
ADXWeight | double | 1.0 | Weight ADX [0.1-2.0] |
UseMA | bool | true | Use MA |
MAWeight | double | 1.0 | Weight MA [0.1-2.0] |
UseChaosInAI | bool | true | Use chaos |
ChaosWeight | double | 1.0 | Chaos weight [0.1-2.0] |
UseQuantumState | bool | true | Use quantum state |
QuantumStateWeight | double | 1.0 | Quantum state weight [0.1-2.0] |
BaseRiskInput | double | 0.5 | Base risk (%) [0.1-1.0] |
MaxRisk | double | 2.0 | Max. risk (%) [1.0-5.0] |
MinBarsBetweenTrades | int | 1 | Min. bars between trades [1-5] |
ATRMultiplierSL | double | 1.5 | ATR multiplier for SL [1.0-3.0] |
TPtoSLRatio | double | 2.0 | TP/SL ratio [1.5-3.0] |
RiskIncreaseFactor | double | 1.2 | Risk increase factor [1.1-1.5] |
RiskDecreaseFactor | double | 0.7 | Risk reduction factor [0.5-0.9] |
MaxConsecutiveLosses | int | 2 | Max. number of losses in a row [1-5] |
MicroAccountMode | bool | true | Mode for small deposits |
MicroRiskCorrection | double | 0.6 | Risk correction [0.3-1.0] |
IgnoreMarginLimitForMinLot | bool | true | Ignore the margin limit for the min. lot |
UseChaosFilter | bool | true | Market chaos filter |
ChaosThreshold | double | 0.35 | Chaotic threshold [0.2-0.5] |
ForceResumeTrading | bool | false | Emergency reset - set to TRUE then FALSE |
EnableAutoRecovery | bool | true | Auto-resume after halt period |
AutoRecoveryHours | int | 4 | Hours before auto-resume [1-24] |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone jarbcs1-prog/quantum_au 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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