OPEN-SOURCE SCRIPT
Multi-Sigma Bands [fmb]

Multi-Sigma Bands [fmb]
What It Is
Multi-Sigma Bands is a volatility-based statistical channel that visualizes how far price deviates from its long-term mean in standard deviation (σ) units. It offers a high-signal, low-noise view of trend strength, volatility regimes, and statistical extremes directly on price, keeping the chart clean and focused without any secondary pane.
What It Does
The indicator calculates a central basis line—using SMA, EMA, RMA, or Linear Regression—and surrounds it with multi-sigma envelopes, typically at ±1σ, ±2σ, and ±3σ. These bands represent the statistically expected ranges of price movement. The blue zone (±1σ) reflects normal volatility where roughly two-thirds of price activity occurs. The yellow zone (±2σ) captures moderate extensions that account for most of the remaining moves, while the red zone (±3σ) marks rare extremes that fall outside the 99% probability boundary. Each region is color-coded for immediate visual interpretation, allowing you to see at a glance when price is trading in calm, stretched, or extreme conditions.
Why It Was Built
Conventional Bollinger Bands tend to compress and expand too aggressively over short windows, making it difficult to read structural volatility changes. Multi-Sigma Bands addresses this by providing a longer statistical view. It helps distinguish mean reversion from sustained breakouts, quantifies trend acceleration or exhaustion, and highlights when markets move into statistically unusual zones that often precede reversals or volatility resets. It is particularly effective on monthly or weekly charts for assessing where a market sits within its long-term distribution. For instance, when the S&P 500 trades above +2σ for several months, risk-reward conditions often tighten.
How It Works
You can choose your preferred basis type—SMA, EMA, RMA, or Linear Regression—and decide whether to force monthly data even on lower timeframes for consistent macro analysis. Adjustable parameters include length, sigma multipliers, and standard deviation smoothing for fine-tuning sensitivity. The script automatically fills the space between the bands, creating a layered color map that clearly shows each volatility zone.
How To Use
When price remains above +1σ, it often confirms strong upside momentum. Consistent rejections at ±2σ or ±3σ zones can suggest exhaustion and potential mean reversion. Narrowing bands often precede volatility expansion, signaling that a breakout or trend change may be near. Multi-Sigma Bands can be used on its own for macro context or as an overlay with directional systems to refine entries and exits.
Credits
Created by Fullym0bile
Enhanced with leading trend detection logic.
fullymobile.ca
What It Is
Multi-Sigma Bands is a volatility-based statistical channel that visualizes how far price deviates from its long-term mean in standard deviation (σ) units. It offers a high-signal, low-noise view of trend strength, volatility regimes, and statistical extremes directly on price, keeping the chart clean and focused without any secondary pane.
What It Does
The indicator calculates a central basis line—using SMA, EMA, RMA, or Linear Regression—and surrounds it with multi-sigma envelopes, typically at ±1σ, ±2σ, and ±3σ. These bands represent the statistically expected ranges of price movement. The blue zone (±1σ) reflects normal volatility where roughly two-thirds of price activity occurs. The yellow zone (±2σ) captures moderate extensions that account for most of the remaining moves, while the red zone (±3σ) marks rare extremes that fall outside the 99% probability boundary. Each region is color-coded for immediate visual interpretation, allowing you to see at a glance when price is trading in calm, stretched, or extreme conditions.
Why It Was Built
Conventional Bollinger Bands tend to compress and expand too aggressively over short windows, making it difficult to read structural volatility changes. Multi-Sigma Bands addresses this by providing a longer statistical view. It helps distinguish mean reversion from sustained breakouts, quantifies trend acceleration or exhaustion, and highlights when markets move into statistically unusual zones that often precede reversals or volatility resets. It is particularly effective on monthly or weekly charts for assessing where a market sits within its long-term distribution. For instance, when the S&P 500 trades above +2σ for several months, risk-reward conditions often tighten.
How It Works
You can choose your preferred basis type—SMA, EMA, RMA, or Linear Regression—and decide whether to force monthly data even on lower timeframes for consistent macro analysis. Adjustable parameters include length, sigma multipliers, and standard deviation smoothing for fine-tuning sensitivity. The script automatically fills the space between the bands, creating a layered color map that clearly shows each volatility zone.
How To Use
When price remains above +1σ, it often confirms strong upside momentum. Consistent rejections at ±2σ or ±3σ zones can suggest exhaustion and potential mean reversion. Narrowing bands often precede volatility expansion, signaling that a breakout or trend change may be near. Multi-Sigma Bands can be used on its own for macro context or as an overlay with directional systems to refine entries and exits.
Credits
Created by Fullym0bile
Enhanced with leading trend detection logic.
fullymobile.ca
오픈 소스 스크립트
진정한 트레이딩뷰 정신에 따라 이 스크립트 작성자는 트레이더가 기능을 검토하고 검증할 수 있도록 오픈소스로 공개했습니다. 작성자에게 찬사를 보냅니다! 무료로 사용할 수 있지만 코드를 다시 게시할 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.
오픈 소스 스크립트
진정한 트레이딩뷰 정신에 따라 이 스크립트 작성자는 트레이더가 기능을 검토하고 검증할 수 있도록 오픈소스로 공개했습니다. 작성자에게 찬사를 보냅니다! 무료로 사용할 수 있지만 코드를 다시 게시할 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.