Formula & Calculator
Bollinger Band Width
Measures how wide or narrow Bollinger Bands are relative to price, indicating whether volatility is expanding or contracting.
Variables
| Symbol | Quantity | Unit |
|---|---|---|
| Width | Bollinger band width | |
| Upper Band | SMA + 2 standard deviations | |
| Lower Band | SMA - 2 standard deviations | |
| Middle Band | SMA (middle band) |
What it means
Bollinger Bands consist of a middle band (SMA) and upper/lower bands (SMA ± 2×standard deviation). The width indicates volatility: narrow bands suggest low volatility (compression), which often precedes a significant price move. This is used to identify potential breakouts and to gauge market conditions. Understanding band width helps traders anticipate volatility changes.
Worked example
Bollinger Band Width – Two Detailed Examples
Real‑World| Parameter | Value |
|---|---|
| Upper Band | 63,000 |
| Lower Band | 58,000 |
| Middle Band | 60,500 |
| Parameter | Value |
|---|---|
| Upper | 3,200 |
| Lower | 2,900 |
| Middle | 3,050 |
Common mistakes
- Bollinger Band width: Normalised measure of volatility.
- Upper band: Middle band + (2× standard deviation).
- Lower band: Middle band − (2× standard deviation).
- Width: Increases during high volatility, decreases during low volatility.
Applications
Bollinger Band width measures the relative distance between the upper and lower bands, indicating volatility. Wider bands suggest high volatility, while narrower bands suggest low volatility. Traders use this to anticipate breakouts and to set volatility‑based targets. This metric is derived from the standard Bollinger Bands. Understanding bandwidth helps in identifying periods of consolidation and expansion.
- Assessing market volatility and potential breakouts
- Adjusting trading strategies based on volatility regimes
- Identifying low‑volatility periods that may precede large moves
- Setting stop‑loss and take‑profit levels based on volatility
- Educational understanding of Bollinger Bands