Bollinger Bands
Volatility-adaptive price envelope plotted at standard deviations around a moving average.
What it is
Bollinger Bands, devised by John Bollinger in the 1980s, are an envelope that adapts to current market volatility. The middle line is a simple moving average. The upper and lower bands sit a multiple of the recent price standard deviation above and below.
Because they expand when the market becomes volatile and contract when it quiets, Bollinger Bands offer a self-tuning way to think about "extremes." A price touch of the upper band in a sleepy market is a different statistical event than the same touch during a high-volatility regime — the bands automatically account for this.
How it's calculated
Three parameters: period (default 20), multiplier (default 2.0), and the moving-average type (typically SMA).
1. Middle band = SMA(close, period) 2. Standard deviation σ = stdev(close over the same period) 3. Upper band = middle + (multiplier × σ) 4. Lower band = middle − (multiplier × σ)
With a 2σ multiplier on a normally distributed series, roughly 95% of price action falls inside the bands. Markets are not normally distributed (they have fat tails), so band touches are more common than naive statistics suggest, but the bands still capture relative extremes.
How to interpret signals
Three primary readings:
Mean reversion. Price touching or piercing the upper band in a non-trending market often precedes a pullback toward the middle. Touch of the lower band similarly often precedes a bounce up. This is the foundation of most "BB Bounce" strategies.
Volatility squeeze. When the bands narrow tightly together, volatility is unusually low. Markets rarely stay quiet for long, so squeezes often precede sharp directional moves — though the bands themselves do not predict direction.
Bands as trend. In strong trends, price can ride the upper band (uptrend) or lower band (downtrend) for many bars. A trend that loses contact with its band hints at fading momentum.
Strengths
- Volatility-adaptive: thresholds scale automatically with current market conditions.
- Squeeze detection is a unique, well-known pre-breakout signal not available in static-threshold indicators.
- Works on any timeframe and asset class.
- Combines a trend reference (middle band) and extreme markers (outer bands) in a single visual.
Limitations
- Mean-reversion fades in strong trends — touching the upper band in an uptrend is not a sell signal.
- Standard 20/2.0 parameters are conventions, not optimal for every asset.
- Statistical interpretation assumes normality, which markets violate.
- Squeeze does not signal direction — only that a move is statistically more likely.
Common pitfalls
- Blindly fading band touches in trending markets, which produces a long string of losing trades.
- Mistaking a long volatility squeeze for nothing — squeezes are often the calm before the move.
- Tightening multiplier below 2.0 to get more signals, which sharply reduces signal quality.
- Treating any band touch as a setup without confirming the broader regime (trend vs range).
Related strategies in Backstrap
Educational note: This page explains what BB measures and how it is conventionally interpreted. It does not constitute investment advice. Past patterns do not guarantee future results, and no indicator works in all market regimes. See the full disclaimer.
Last updated: 2026-05-08