Statistical Mapping
05.11.2025
What is Statistical Mapping?
The Core Concept
Statistical Mapping analyzes historical price behavior to project likely price ranges and key levels for current and future periods. By examining past market data, the tool identifies patterns in how prices typically move during specific timeframes or trading sessions.
How It Works
The StatMap tool analyzes historical sessions (default: 60 periods) of a specific timeframe to calculate statistical projections. For each historical period, the indicator identifies whether price closed up or down, then measures key price movements to establish typical behavior patterns.
The Five Projection Levels
Statistical Mapping projects five key price levels from the current period's open:
[+] Distribution (+D): Average favorable upside extension from open
[-] Manipulation (-M): Average unfavorable upside wick from open
Open (O): Current period's opening price (reference point)
[+] Manipulation (+M): Average unfavorable downside wick from open
[-] Distribution (-D): Average favorable downside extension from open
Understanding Manipulation and Distribution
In ICT teachings, most candles exhibit distinct manipulation and distribution phases.
For bullish scenarios, manipulation occurs below the opening price, potentially trapping traders in bearish positions before the true distribution takes place above the open, driving prices higher.
For bearish scenarios, manipulation occurs above the opening price, luring traders into bullish positions before distribution below the open drives prices lower.
Key Features
Timeframe Analysis
The StatMap tool allows configuration of up to 3 standard timeframe-based projections simultaneously. Each enabled timeframe calculates its own manipulation and distribution levels, letting you layer multiple timeframe perspectives on a single chart.
Custom Session Analysis
Beyond standard timeframes, Statistical Mapping supports up to 3 custom session-based projections. This feature is perfect for traders who focus on specific market hours like London open, NY session, or Asian session rather than standard daily candles.
The tool can be anchored to specific times (such as market open) rather than just using standard candle timeframes.
Time Projections
Statistical Mapping goes beyond price levels by showing expected times for highs and lows to form based on historical patterns. This helps traders anticipate both where and when key price movements are likely to occur.
Liquidity Analysis
Statistical Mapping includes a liquidity feature that identifies swing highs and lows that align with projected levels and tracks when they are swept or raided. This helps traders spot where significant stop loss orders accumulate, which are prime hunting grounds for institutional traders.
The feature visualizes liquidity pools using solid lines for unswept liquidity and dotted or dashed lines for swept (raided) liquidity. Traders can configure the detection sensitivity through threshold settings and choose whether to display all liquidity or only pre-session liquidity that existed before the period opened.
Liquidity pools near statistical price levels often mark significant reversal points. By combining liquidity analysis with Statistical Mapping projections, traders gain insight into where smart money is likely hunting stops and how price may react at these confluence zones.
The StatMap Tool in TradingView
The indicator is published on TradingView as OHLC Statistical Mapping [Pro+]. This unified indicator includes both candle-based (OHLC) and custom session-based projections in a single tool.
Real-Time Updates
The tool provides real-time information flow with instantaneous updates on candlestick statistics. Each candle updates with the latest OHLC information, providing continuous historical data computations even on timeframes below 1 minute.
Historical Mapping
Traders can backtest previous mappings by enabling the historical mapping feature, allowing analysis of past market scenarios for refining and validating trading strategies.
Practical Application
When anticipating a bullish pattern, traders monitor the +Manipulation and +Distribution levels as thresholds for potential reversals. For bearish patterns, attention turns to -Manipulation and -Distribution levels.
By combining statistical price levels with time projections, Statistical Mapping helps traders identify high-probability zones for entries, stops, and targets based on how the market has historically behaved during similar periods.
Integration with Other Analysis
Statistical Mapping is designed to complement other models and analytical frameworks. The tool provides data-driven insights that traders can leverage alongside their existing strategies to build stronger narratives for their analysis.
