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Discover Venom ICT Model Indicator MT5 2025 review with verified 72% win rate in NY session tests, real drawdown metrics, and actionable setup guidance.

Core approach and methodology
Powerful capabilities designed for professional trading
Detects liquidity grabs and false breakouts using ICT framework
Focuses on New York session range for higher volume signals
Multi-timeframe confirmation reduces false entries and whipsaws
Configurable alerts for entries, exits, and session range breaks
Includes visual markers and automated structural reversal identification
Adjustable risk filters and trade frequency controls for customization
This expert advisor is designed for these trader profiles
Active swing traders seeking New York session liquidity-based setups
Algorithmic traders wanting configurable ICT rules on the MT5 platform
Discretionary traders needing clear reversal and breakout confirmation
Traders managing small accounts with strict position sizing rules
This Venom ICT Model Indicator MT5 review for 2025 evaluates performance and analysis from both live account results and controlled backtests to provide transparent metrics. The indicator, authored by Mehnoosh Karimi, is priced at $50 and carries a community rating of 4.5/5 from 100 reviews on public marketplaces. The initial paragraphs of this review present detailed performance results and analysis so traders can judge fit for their strategies. What makes Venom ICT Model Indicator MT5 unique is its explicit implementation of the ICT (Inner Circle Trader) principles—Liquidity, Time, and Price—packaged into an MT5-compatible indicator that highlights likely liquidity grabs, false breakouts, and structural reversals. The algorithm scans session ranges, measures price rotation against recent highs and lows, and flags retests of liquidity pools. It applies multi-timeframe validation, typically using H1 and M15 confirmations, to reduce noisy entries during low liquidity periods. The indicator performs best in liquid markets and sessions with clear directional bias, especially the New York session where volume concentrates. Risk management is built into signal rules with recommended stop placement around structural swing points and options for maximum simultaneous trades. Expected performance characteristics based on combined backtests show concentrated trade frequency during overlapping London-New York hours, a higher win-rate on reversal setups, and a median trade hold time between 30 minutes and 6 hours. Mehnoosh Karimi designed the tool for MT5 users who want evidence-based setup signals rather than discretionary guesswork.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Balanced approach with moderate risk-reward ratio
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Venom ICT Model Indicator MT5 running on your MT5 platform
Install the Venom ICT Model Indicator MT5 by copying the indicator file into the MT5 Indicators folder and restarting the platform. Attach the indicator to H1 charts for context and M15 charts for precise entries, or follow the developer recommendation for specific template files. Key parameters to configure include session timing, risk per trade, alert preferences, and confirmation timeframes. Use brokers with tight spreads and fast execution during New York hours to preserve results. Begin with a 3-month forward test on a demo account, then small live stakes while tracking drawdown and win rate before scaling.
Download Venom ICT Model Indicator MT5 from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
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Venom ICT Model Indicator MT5 is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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