Smart Money Flow Tracker

Smart Money Flow Tracker - Liquidity & Fair Value Gap Indicator
Overview
The Smart Money Flow Tracker is a comprehensive Pine Script indicator designed to identify and analyze institutional trading patterns through liquidity prints and Fair Value Gaps (FVGs). This advanced tool combines multiple analytical approaches to help traders understand where smart money is operating in the market, providing crucial insights for better trade timing and market structure analysis.

Core Functionality
1. Liquidity Prints Detection
The indicator identifies liquidity prints by analyzing pivot highs and lows that represent potential areas where institutional orders may be resting. Key features include:

Pivot-Based Analysis: Uses configurable pivot lengths (default 5) to identify significant highs and lows
Volume Confirmation: Optional volume filter ensures liquidity prints occur during periods of significant trading activity
Dynamic Labeling: Visual markers on chart showing liquidity print locations with customizable colors
Success Rate Tracking: Monitors how often liquidity prints lead to meaningful price reactions
2. Fair Value Gap (FVG) Analysis with Volume Integration
Advanced FVG detection that goes beyond basic gap identification:

Three-Bar Pattern Recognition: Identifies gaps where the high of bar 1 is below the low of bar 3 (bullish) or low of bar 1 is above high of bar 3 (bearish)
Volume-Enhanced Detection: Incorporates comprehensive volume analysis including:
Average volume calculation over configurable periods
Total volume across the 3-bar FVG pattern
Dominant volume bar identification
Volume ratio calculations for strength assessment
Volume Threshold Filtering: Optional minimum volume requirements to filter out low-conviction FVGs
Visual Enhancement: FVG boxes with volume-based coloring and detailed volume labels
3. Comprehensive Statistics Dashboard
Real-time statistics table displaying:

Total liquidity prints detected
Success rate percentage with dynamic color coding
Volume filter status
Total Fair Value Gaps identified
High-volume FVG count and percentage
All metrics update in real-time as new data becomes available
4. Advanced Alert System
Multiple alert conditions for different scenarios:

Standard liquidity print detection
Volume-confirmed liquidity prints
Bullish and bearish FVG formation
High-volume FVG alerts for institutional-grade setups
Key Input Parameters
Display Controls
Show Liquidity Prints: Toggle main functionality on/off
Show Statistics Table: Control visibility of the analytics dashboard
Show Fair Value Gaps: Enable/disable FVG detection and display
Technical Settings
Pivot Length: Adjusts sensitivity of liquidity print detection (1-20 range)
Volume Confirmation: Requires above-average volume for liquidity print validation
Volume Lookback: Period for calculating average volume (5-50 bars)
FVG Volume Settings
Show FVG Volume Info: Display detailed volume metrics on FVG labels
FVG Volume Threshold: Minimum volume multiplier for high-volume FVG classification
FVG Volume Average Period: Lookback period for FVG volume calculations
Visual Customization
Bullish/Bearish Colors: Separate color schemes for different market directions
Text Colors: Bright lime green for optimal visibility on all background types
Table Positioning: Flexible placement options for the statistics dashboard
Trading Applications & Use Cases
1. Institutional Order Flow Analysis
Liquidity Hunting: Identify areas where institutions may be targeting retail stops
Smart Money Tracking: Follow institutional footprints through volume-confirmed liquidity prints
Market Structure Understanding: Recognize key levels where large orders are likely resting
2. Fair Value Gap Trading Strategies
Gap Fill Trading: Trade the statistical tendency of FVGs to get filled
Volume-Confirmed Entries: Use high-volume FVGs as higher-probability trade setups
Institutional FVG Recognition: Focus on FVGs with dominant volume bars indicating institutional participation
3. Multi-Timeframe Analysis
Higher Timeframe Context: Use on daily/weekly charts to identify major institutional levels
Intraday Precision: Apply to lower timeframes for precise entry and exit timing
Cross-Timeframe Confirmation: Combine signals across multiple timeframes for enhanced accuracy
4. Risk Management Applications
Stop Loss Placement: Use liquidity print levels as logical stop loss areas
Position Sizing: Adjust position sizes based on volume confirmation and success rates
Trade Filtering: Use statistics dashboard to assess current market conditions
Technical Logic & Methodology
Liquidity Print Algorithm
Pivot Identification: Scans for pivot highs/lows using the specified lookback period
Volume Validation: Optionally confirms prints occur during above-average volume periods
Success Tracking: Monitors subsequent price action to calculate effectiveness rates
Dynamic Updates: Continuously updates statistics as new data becomes available
FVG Detection Process
Pattern Recognition: Identifies 3-bar patterns with qualifying gaps
Volume Analysis: Calculates comprehensive volume metrics across the pattern
Strength Assessment: Determines volume ratios and dominant bars
Classification: Categorizes FVGs based on volume thresholds and characteristics
Visual Representation: Creates boxes and labels with volume-based styling
Statistical Framework
Real-time Calculations: All metrics update with each new bar
Percentage-based Metrics: Success rates and volume confirmations shown as percentages
Color-coded Feedback: Visual indicators for quick assessment of current conditions
Historical Tracking: Maintains running totals throughout the session
Best Practices for Usage
1. Parameter Optimization
Start with default settings and adjust based on market conditions
Lower pivot lengths for more sensitive detection on volatile instruments
Higher volume thresholds for cleaner signals in high-volume markets
2. Market Context Consideration
Combine with broader market structure analysis
Consider economic events and news that may affect institutional flow
Adjust expectations based on market volatility and liquidity conditions
3. Integration with Other Analysis
Use alongside support/resistance levels for confluence
Combine with momentum indicators for timing confirmation
Integrate with volume profile analysis for additional context
Conclusion
The Smart Money Flow Tracker represents a sophisticated approach to institutional flow analysis, combining traditional liquidity concepts with modern volume analytics. By providing both visual signals and comprehensive statistics, it enables traders to make more informed decisions based on where smart money is likely operating in the market. The indicator's flexibility and customization options make it suitable for various trading styles and timeframes, from scalping to position trading.