OPEN-SOURCE SCRIPT
Descriptive Statistics [Mean + Std Dev Bands]
This indicator models market structure using a parametric statistical approach based on the mean and standard deviation. It is designed to measure price volatility and deviation from average market behavior.
It does not predict direction; instead, it describes how far price deviates from its statistical or arithmetic mean over a defined sample of data.
What it shows?
1. Mean: The average price level, representing the central equilibrium of the dataset.
2. Standard Deviation (σ): Measures how dispersed price is around the mean.
3. ±1σ Bands: Normal market variation zone (typical price movement).
4. ±2σ Bands: Strong deviation zone (extended moves).
5. ±3σ Bands: Extreme statistical events (rare market conditions).
6. You may notice the one of (±1σ Bands) bands deviate more than the other especially during trendy market conditions. It is easy spot can can be good for daily directional bias.
How it works
The indicator collects price data using either:
1. Reset Mode: Builds a new dataset each session (Daily, Weekly, Monthly, or chart timeframe).
2. Length Mode: Uses a rolling window of the last N candles.
It then calculates the mean and standard deviation from the selected dataset to construct dynamic volatility bands.
How to use it
1. Price near the Mean → equilibrium / fair value zone.
2. Price within ±1σ → normal market behavior.
3. Price between ±1σ and ±2σ → strong momentum or expansion.
4. Price beyond ±2σ or ±3σ → statistically extreme conditions (overextension or volatility spikes).
Key concept
This tool does not forecast price direction. It provides a volatility-based distribution model, helping traders understand how stretched or compressed price is relative to its average behavior.
⚠️ Note
This indicator is for educational and analytical purposes only and should not be used as standalone trading advice.
Author: TUGUME WILLIAM MUTARA
It does not predict direction; instead, it describes how far price deviates from its statistical or arithmetic mean over a defined sample of data.
What it shows?
1. Mean: The average price level, representing the central equilibrium of the dataset.
2. Standard Deviation (σ): Measures how dispersed price is around the mean.
3. ±1σ Bands: Normal market variation zone (typical price movement).
4. ±2σ Bands: Strong deviation zone (extended moves).
5. ±3σ Bands: Extreme statistical events (rare market conditions).
6. You may notice the one of (±1σ Bands) bands deviate more than the other especially during trendy market conditions. It is easy spot can can be good for daily directional bias.
How it works
The indicator collects price data using either:
1. Reset Mode: Builds a new dataset each session (Daily, Weekly, Monthly, or chart timeframe).
2. Length Mode: Uses a rolling window of the last N candles.
It then calculates the mean and standard deviation from the selected dataset to construct dynamic volatility bands.
How to use it
1. Price near the Mean → equilibrium / fair value zone.
2. Price within ±1σ → normal market behavior.
3. Price between ±1σ and ±2σ → strong momentum or expansion.
4. Price beyond ±2σ or ±3σ → statistically extreme conditions (overextension or volatility spikes).
Key concept
This tool does not forecast price direction. It provides a volatility-based distribution model, helping traders understand how stretched or compressed price is relative to its average behavior.
⚠️ Note
This indicator is for educational and analytical purposes only and should not be used as standalone trading advice.
Author: TUGUME WILLIAM MUTARA
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.