This MetaTrader 5 expert advisor focuses on XAUUSD using a multi-timeframe scalping approach based on Smart Money Concepts. It identifies institutional market structures by analyzing H4 trends, H1 supply and demand zones, and M5 entries. The logic incorporates order block detection, Fair Value Gaps (FVG), and liquidity
Trading robot · MT5
Lqs Ai Institutional Engine
LQS AI Institutional Engine is a MetaTrader 5 robot designed for trading gold using market microstructure analysis.
High risk
GitHub stars1
Forks1
Last update4 months ago16 May 2026
LicenceNone stated
Overview
Lqs Ai Institutional Engine 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 AI decision layer that uses logistic regression and Shannon entropy filters to modulate risk and filter entries based on historical outcomes. Risk controls include stop loss, take profit, and trailing stops, with lot sizing options ranging from fixed volumes to dynamic Bayesian Kelly calculations.
- Wyckoff accumulation and distribution phase detection
- Liquidity sweep and order flow divergence modules
- Multi-timeframe anchored VWAP confluence
- AI-based logistic regression decision filter
- Dynamic Bayesian Kelly lot sizing
Details
Author
adithyodw on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
SMC / ICT / price action, AI / machine learning, Mean reversion, Trend following, Martingale
Markets
Gold
Timeframes
M15-H1, H4 and above
Risk profile
- Uses martingale lot scaling: losses can grow fast
EA files
Input parameters
Read from LQS_AI_Integrated.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpStartHour | int | 1 | |
InpEndHour | int | 23 | |
InpUseAsianSess | bool | true | |
InpAsianStart | int | 0 | |
InpAsianEnd | int | 8 | |
InpLondonHour | int | 7 | |
InpNYHour | int | 13 | |
InpNoWeekend | bool | true | |
InpTimerSecs | int | 60 | |
InpUsePrevDayHL | bool | true | |
InpUseRoundNums | bool | true | |
InpRoundStep | double | 50.0 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpSweepWickPct | int | 10 | |
InpSweepRetracePct | double | 40.0 | |
InpSweepConfBars | int | 1 | |
InpSweepVolMult | double | 1.0 | |
InpLiqLookback | int | 30 | |
InpSweepMaxAge | int | 20 | |
InpSweepDepthMin | double | 0.0005 | |
InpMultiSweepBars | int | 8 | |
InpDeltaLookback | int | 40 | |
InpDivergThresh | double | 8.0 | |
InpAbsorbBars | int | 3 | |
InpAbsorbVolMult | double | 1.2 | |
InpAbsorbMaxMove | double | 0.6 | |
InpAccumLookback | int | 20 | |
InpAccumRangeRatio | double | 10.0 | |
InpSpringMult | double | 0.5 | |
InpUpthrustMult | double | 0.5 | |
InpManipVolMult | double | 1.1 | |
InpCOPressMin | double | 40.0 | |
InpVAPct | double | 70.0 | |
InpADLPeriod | double | 15.0 | |
InpPhaseDurMin | double | 1.0 | |
InpVWAP_Asian | bool | true | |
InpVWAP_London | bool | true | |
InpVWAP_NY | bool | true | |
InpVWAP_Week | bool | true | |
InpVWAP_Day | bool | true | |
InpVWAP_Swing | bool | true |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone adithyodw/LQS-AI-INSTITUTIONAL-ENGINE 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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