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Bollinger Bands Regression Forecast [BigBeluga]

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🔵 OVERVIEW
The Bollinger Bands Regression Forecast [BigBeluga] combines volatility envelopes from Bollinger Bands with a linear regression-based projection model.
It visualizes both current and future price zones by extrapolating the Bollinger channel forward in time, giving traders a statistical forecast of probable support and resistance behavior.

🔵 CONCEPTS
  • Classic Bollinger Bands use a moving average (basis) and standard deviation (deviation) to form dynamic envelopes around price.
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  • This indicator enhances them with linear regression slope detection, allowing it to forecast how the band may expand or contract in the future.
  • Regression is applied to both the band’s basis and deviation components to predict their trajectory for a user-defined number of Forecast Bars.
  • The resulting forecast creates a smoothed, funnel-shaped projection that dynamically adapts to volatility.
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  • â–˛ and â–Ľ markers highlight potential mean reversion points when price crosses the outer bounds of the bands.
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🔵 FEATURES
  • Forecast Engine: Uses linear regression to project Bollinger Band movement into the future.
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  • Dynamic Channel Width: Adapts standard deviation and slope for realistic volatility modeling.
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  • Auto-Labeled Levels: Displays live upper and lower forecast values for quick reference.
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  • Cross Signals: Marks potential overbought and oversold zones with â–˛/â–Ľ signals when price exits the band.
  • Trend-Adaptive Basis Color: Basis line automatically switches color to represent short-term trend direction.
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  • Customizable Colors and Widths for complete visual control.


🔵 HOW TO USE
  • Apply the indicator to visualize both current Bollinger structure and its forward projection.
  • Use â–˛/â–Ľ breakout markers to identify short-term reversals or volatility shifts.
  • When price consistently rides the upper band forecast, the trend is strong and likely continuing.
  • When regression shows narrowing bands ahead, expect a volatility contraction or consolidation period.
  • For range traders, outer projected bands can be used as potential mean reversion entry points.
  • Combine with volume or momentum filters to confirm whether breakouts are genuine or fading.


🔵 CONCLUSION
Bollinger Bands Regression Forecast [BigBeluga] transforms classic Bollinger analysis into a predictive forecasting model.
By merging volatility dynamics with regression-based extrapolation, it provides traders with a forward-looking visualization of likely price boundaries — revealing not only where volatility is but also where it’s heading next.

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