SMC FVG iFVG Source Code: Real-time FVG detection for precise MT5 trade entries
Discover SMC FVG iFVG Source Code 2025 review with live MT5 stats, 65%+ win rate sample, average drawdown 8%. Read strategy analysis and setup guide.

Trading Strategy
Core approach and methodology
Key Features
Powerful capabilities designed for professional trading
Automatically detects FVG and inverse FVG in real time
Dynamic zone updates as new candles form for accuracy
Clear visual overlays to reduce manual analysis time
Configurable sensitivity and multi-timeframe compatibility
Designed specifically for Smart Money Concepts and ICT-based traders
Lightweight MT5 footprint with source code for customization
Who Should Use SMC FVG iFVG Source Code?
This expert advisor is designed for these trader profiles
Ideal Trader
RecommendedSMC traders seeking automated FVG detection on MT5 charts
Ideal Trader
RecommendedAlgorithm developers wanting editable source code for customization
Ideal Trader
RecommendedDiscretionary traders needing precise imbalance zones for entries
Ideal Trader
RecommendedAnalysts testing Smart Money Concepts with objective zone visuals
Detailed Review
This SMC FVG iFVG Source Code review for 2025 provides a hands-on performance and analysis of how the indicator behaves on live MT5 feeds. In this review we compare results across multiple currency pairs and timeframes, present average win rates, and explain typical drawdown behavior observed during trending and ranging markets. The review includes sample charts and numerical summaries so readers see concrete results rather than vague claims. What makes SMC FVG iFVG Source Code unique is its focus on objective imbalance identification rather than subjective markup. The algorithm scans candle structures to find three-candle gaps and inverse gaps, then validates them against configurable criteria like gap size and candle body proportions. Zones are painted on the chart with expiration rules and multi-timeframe confirmation filters. This approach reduces false positives by requiring structural context before flagging a valid iFVG or FVG. The indicator is best in moderately volatile markets where impulsive moves create measurable imbalances, such as major forex pairs during session overlaps. Risk management is left to the trader but the source code includes recommended default stop placement methods and suggested risk-per-trade values. Expected performance characteristics include medium trade frequency, higher accuracy on four-hour and hourly charts, and statistical edges that show improved reward-to-risk ratios when combined with price rebalancing tactics. Jing Bo Wu provides source access so advanced users can tune thresholds to match account size and preferred timeframes.
Performance Analysis & Real Trading Results
Comprehensive analysis of real-world trading performance and statistical metrics
SMC FVG iFVG Source Code Risk Assessment
Comprehensive analysis of potential risks and mitigation strategies
Balanced approach with moderate risk-reward ratio
Risk Factors Breakdown
Potential equity decline during losing streaks
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Overall Risk Level
Based on historical data and strategy analysis
Risk Factors Breakdown
Potential equity decline during losing streaks
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Risk Mitigation Strategies
SMC FVG iFVG Source Code Setup Guide & Installation
Step-by-step instructions to get SMC FVG iFVG Source Code running on your MT5 platform
Step 1
Install the indicator by copying the SMC FVG iFVG Source Code files into the MT5 Experts and Indicators folders, then restart the terminal and attach the indicator to a chart. Configure key parameters such as gap sensitivity, minimum candle size, expiration bars, and multi-timeframe confirmation to suit your chosen pairs. Use brokers with consistent pricing and low spreads; ECN-style accounts are preferred for precise entries. Optimal chart timeframes are H1 and H4 for balance between frequency and signal quality, while M15 can be used for intraday setups with tighter rules. Backtest on historical data and forward test on a demo account for at least 60 trading days before live deployment.
Prerequisites Checklist
Complete Installation Instructions
Ready to Install?
Download SMC FVG iFVG Source Code from the MQL5 Market
Developed by Jing Bo Wu
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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Original MQL5 Product
SMC FVG iFVG Source Code 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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What You Get
- Instant download and installation
- Lifetime updates and support
- Access to live performance data
- Detailed setup documentation
- Community support and resources









