by 
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
Liquidity Sweep Reversal
This MetaTrader 5 expert advisor implements a reversal strategy based on institutional trading concepts and liquidity sweeps.
GitHub stars1
Forks0
Last update1 year ago15 Sep 2025
LicenceCustom licence
Overview
Liquidity Sweep Reversal identifies fake breakouts at swing high and low levels, waiting for price rejection patterns like pin bars or engulfing candles to enter trades. The robot manages risk through equity-based position sizing, mandatory stop losses with buffers, and dual take-profit targets. It includes optional filters for volume, trading sessions, and trend alignment. Users can configure daily trade limits and a trailing stop to protect gains. The logic avoids martingale or grid methods, focusing on pure price action.
- Smart money liquidity sweep detection
- Rejection pattern recognition including pin bars and engulfing candles
- Equity-based dynamic position sizing with lot size safety caps
- Trailing stop and dual take-profit management
- Session, volume, and daily trade limit filters
Details
Author
logiccrafterdz on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
SMC / ICT / price action, Mean reversion
Markets
Forex, Gold
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.
EA files
Topics
algorithmic-tradingforexmetatrader5mql5price-actionreversal-strategyrisk-managementtrading-botliquidity-sweep
Input parameters
Read from LiquiditySweepReversal.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
PipThreshold | int | 8 | Breakout threshold in pips (increased for better signals) |
BarLimit | int | 3 | Max bars for re-entry confirmation (increased) |
BufferSL | int | 5 | Stop loss buffer in pips (reduced for tighter SL) |
RiskPercent | double | 0.5 | Risk percentage per trade (reduced risk) |
MinRange | int | 30 | Minimum daily range in pips (increased for volatile days) |
UseVolumeFilter | bool | false | Use volume filter (DISABLED FOR TESTING) |
UseTimeFilter | bool | false | Use time filter (DISABLED FOR TESTING) |
UseTrendFilter | bool | false | Use trend filter (DISABLED FOR TESTING) |
MaxTradesPerDay | int | 2 | Maximum trades per day (as per log settings) |
ServerGMTOffset | int | 0 | Server GMT offset in hours |
VolumeMultiplier | double | 1.5 | Volume multiplier for filtering (increased) |
UsePendingOrders | bool | false | Use pending orders on retracement |
Show all 18 inputs
| Name | Type | Default | Description |
|---|---|---|---|
UseTP2 | bool | true | Use second take profit |
TrailingStart | int | 15 | Trailing stop start in pips |
TrailingStep | int | 5 | Trailing stop step in pips |
UseEquityForRisk | bool | true | Use equity instead of balance for risk |
MinSLPipsForRisk | int | 7 | Minimum SL (in pips) used in risk calc to avoid micro-SL oversizing |
MaxLotCap | double | 10.0 | Hard safety cap for lot size (additional to broker max) |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone logiccrafterdz/Strategy003-Liquidity-Sweep-Reversal 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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