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
开源脚本
秉承TradingView的精神，该脚本的作者将其开源，以便交易者可以查看和验证其功能。向作者致敬！您可以免费使用该脚本，但请记住，重新发布代码须遵守我们的网站规则。
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
开源脚本
秉承TradingView的精神，该脚本的作者将其开源，以便交易者可以查看和验证其功能。向作者致敬！您可以免费使用该脚本，但请记住，重新发布代码须遵守我们的网站规则。
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。