EA Scalper XAUUSD is an automated trading research project for MetaTrader 5 focused on gold. It employs a multifaceted entry strategy using Smart Money Concepts like order blocks and liquidity sweeps, alongside moving average crossovers and Fibonacci zones. The EA includes a self-learning module designed to adapt to di
Trading robot · MT5
ICT Trading Strategy EA
This MetaTrader 5 expert advisor implements core Inner Circle Trader (ICT) concepts including Fair Value Gaps (FVG), liquidity sweeps, and Market Structure Shifts (MSS).
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Last update5 months ago18 Apr 2026
LicenceNone stated
Overview
ICT Trading Strategy EA executes trades based on price imbalances and displacement, utilizing session-based filters for London and New York kill zones. Risk management features include percentage-based position sizing, a daily loss limit, a maximum number of trades per day, and a minimum reward-to-risk ratio. The EA also incorporates an ATR-based volatility filter and optional trailing stops to manage open positions.
- Fair Value Gap detection and validation
- Liquidity sweep and rejection logic
- Session-based trading for London and New York
- Daily loss and trade count limits
- Market Structure Shift confirmation
Details
Author
samiabat on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
SMC / ICT / price action
Markets
Forex
Timeframes
M15-H1, M1-M5
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.
Input parameters
Read from ICT_Strategy_EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpRiskPercent | double | 1.5 | Risk per trade (%) |
InpMaxTradesPerDay | int | 40 | Max trades per day (matching Python) |
InpMaxDailyLoss | double | 5.0 | Max daily loss (%) |
InpMinBalance | double | 100.0 | Minimum balance threshold |
InpMinFVGPips | double | 2.0 | Minimum FVG size (pips) - matching Python |
InpSweepRejectionPips | double | 0.5 | Sweep rejection (pips) - matching Python |
InpStopLossBufferPips | double | 2.0 | Stop loss buffer (pips) |
InpTargetMinR | double | 3.0 | Minimum R:R ratio |
InpTargetMaxR | double | 5.0 | Maximum R:R ratio |
InpFVGConfirmCandles | int | 0 | FVG confirmation candles (0 = immediate entry) |
InpLondonOpenHour | int | 7 | London open hour |
InpLondonCloseHour | int | 16 | London close hour |
Show all 26 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpNYOpenHour | int | 12 | NY open hour |
InpNYCloseHour | int | 21 | NY close hour |
InpTrendLookback | int | 32 | Trend lookback candles |
InpRelaxedMode | bool | true | Allow trading without trend |
InpEnableATRFilter | bool | true | Enable ATR volatility filter |
InpATRPeriod | int | 14 | ATR period for volatility |
InpMinATRMultiplier | double | 1.0 | Minimum ATR multiplier for FVG |
InpEnableKillZoneFilter | bool | false | Use strict ICT kill zones only |
InpMaxSweepAgeBars | int | 15 | Max bars since sweep (0=disabled) |
InpMinCandleBodyPips | double | 1.0 | Minimum displacement candle body size (pips) |
InpMagicNumber | int | 12345 | EA Magic Number |
InpTradeComment | string | ICT_EA | Trade comment |
InpSlippage | int | 30 | Slippage in points |
InpEnableTrailing | bool | false | Enable trailing stop |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone samiabat/ICT-Trading-Strategy 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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