Statistical Mapping°
Statistical Mapping projects price levels based on historical statistical analysis of market behavior. It measures typical manipulation (adverse) and distribution (favorable) moves and projects them from the current period's open price to highlight likely reversal and target zones.
Demo
Toggle Mean / Median / Both to see how levels shift.
Sample data for demonstration; live levels are calculated in TradingView.
How It Works
- 1
Analyzes HistoryLooks back at prior periods (e.g., last 60 days on 1D) to learn typical behavior.
- 2
Measures WicksCalculates Distribution (favorable) and Manipulation (adverse) for each past period.
- 3
Projects LevelsProjects those averages from the current Open to mark likely stall, reversal, or target zones.
The 5 Projection Levels
StatMap checks if prior periods closed up or down, then measures favorable extension (Distribution) and adverse excursion (Manipulation).
Expansion Model
Price manipulates to M levels before distributing to D targets
Distribution Levels
Where price typically completes its move. Statistical targets or exhaustion points.
"Where the high of the session tends to form on bullish days."
Manipulation Levels
Where price creates a trap or liquidity grab before moving in the true direction.
"Where the low of the session tends to form on bullish days."
Configuration Logic
Calculation Lookback
Controls how much historical data is used.
Mean vs. Median
- Mean:Mean: arithmetic average, sensitive to outliers, projects further.
- Median:Median: middle value, resistant to outliers, higher probability targets.
- Both:Both: shows a range box from Mean to Median to visualize variance.
Day-of-Week Bucketing
Separates stats by weekday (Mon 10:00 vs. Fri 10:00) instead of merging all bars. Crucial when Monday behavior differs from Friday.
Advanced Configuration
Timeframes & Sessions
Multi-Timeframe (3 Rows)
Configure up to 3 standard timeframe-based projections.
- Select any TradingView timeframe (15m, 1H, 4H, 1D, 1W).
- Chart, Table, or Both.
Custom Sessions (3 Rows)
Configure up to 3 session-based projections.
Style Control
Visible Elements
Toggle StatMap Levels, Liquidity Levels, or Both to reduce clutter.
Line Position
Full Session, Current Bar, or Offset to control line length.
Level Customization
Independent control for each of the 5 levels:
Data Table & Time-Quarter Tracking
Splits each timeframe into four quarters and tracks which levels hit when.
Example: 1D Timeframe
0600
1200
1800
2400
Quarter Calculation
1 Day = 24 Hours
24 Hours ÷ 4 = 6 Hours per Quarter
Quarter Logic
- 1st Quarter:00:00 - 06:00
- 2nd Quarter:06:00 - 12:00
- 3rd Quarter:12:00 - 18:00
- 4th Quarter:18:00 - 24:00
When a level is hit within a time-quarter, that cell turns gray. Quick overview of price action through the session.
Liquidity Intelligence
Identifies swing highs/lows near projected levels within a threshold.
Detection Logic
- Lookback:Lookback: time window to scan pivots (e.g., 3M, 90D).
- Threshold:Threshold: proximity tolerance (e.g., ±20%) around projected levels.
- Pre-Session:Pre-Session: optionally only show liquidity formed before session open.
- Solid lines = Unswept (Available Liquidity)
- Dashed lines = Swept (Raided Liquidity)
Smart Alerts
Alerts fire when price hits any enabled level. Each alert type triggers once per timeframe period (e.g., 1D level alert fires once per day).
How to Use Statistical Mapping
Configure Context
Select timeframes for your style. Start with 60 samples for stability. Use 'Both' to see range variance.
Identify Targets
Use Distribution levels as targets; Manipulation to spot trap zones before reversals.
Confirm with Liquidity
Enable liquidity lines. Levels aligned with unswept pools carry higher probability.