Deviation Trend Profile [BigBeluga]

16. Juni

🔵 OVERVIEW
A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution.
This is an experimental indicator designed for educational and learning purposes only.

🔵 CONCEPTS

• Trend Detection via SMA Slope: Detects trend shifts when the slope of the SMA exceeds a ±0.1 threshold.
  
• Standard Deviation Zones: Calculates ±1, ±2, and ±3 levels from the SMA using ATR, forming dynamic envelopes around the mean.
  
• Trend Distribution Profile: Builds a histogram that shows how often price closed within each deviation zone during the active trend phase.
  

🔵 FEATURES

• Trend Signals: Immediate shift markers using colored circles at trend reversals.
  
• SMA Gradient Coloring: The SMA line dynamically changes color based on its directional slope.
  
• Trend Duration Label: A label above the histogram shows how many bars the current trend has lasted.
  
• Trend Distribution Histogram: Visual bin-based profile showing frequency of price closes within deviation bands during trend lookback period.
  
• Adjustable Bin Count: Set the granularity of the distribution using the “Bins Amount” input.
  
• Deviation Labels and Zones: Clearly marked ±1, ±2, ±3 lines with consistent color scheme.
  
• Trend Strength Insight:
    • Wide profile skewed to ±2/3 = strong directional trend.
    • Profile clustered near SMA = potential trend exhaustion or range.
  

🔵 HOW TO USE

• Use trend shift dots as entry signals:
    • 🔵 = Bullish start
    • 🔴 = Bearish start
  
• Trade with the trend when price clusters in outer zones (±2 or ±3).
  
• Be cautious or fade the trend when price distribution contracts toward the SMA.
  
• View across multiple timeframes for trend confluence or divergence.
  

🔵 CONCLUSION
Deviation Trend Profile [BigBeluga] visualizes how price distributes during trends relative to statistical deviation zones.
It’s a powerful confluence tool for identifying strength, exhaustion, and the rhythm of price behavior—ideal for swing traders and volatility analysts alike.

16. Juni

Versionshinweise

-thumbnail

16. Juni

Versionshinweise

-