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Back to Indicators
VolatilityLagging

Bollinger Bands — Volatility Envelopes

Overview

Bollinger Bands plot a moving average with upper and lower bands set at 2 standard deviations, expanding during high volatility and contracting during low volatility to create actionable squeeze and breakout signals. The Bollinger Squeeze is especially powerful when combined with Keltner Channels in the TTM Squeeze setup, a favourite of professional traders. Pair Bollinger Bands with the RSI to filter false signals and confirm breakout entries. Set them up on TradingView for real-time alerts and multi-timeframe analysis.

How It Works

Middle band = 20-period SMA. Upper band = SMA + (2 × standard deviation). Lower band = SMA − (2 × standard deviation). Approximately 95% of price action falls within the bands under normal distribution.

Key Signals

  • A Bollinger Squeeze (narrow bands) precedes explosive moves in either direction.
  • Price touching the upper band isn't automatically overbought in an uptrend.
  • Walking the band (price hugging upper or lower band) confirms strong trend momentum.
  • W-bottoms and M-tops within the bands are classic reversal patterns.

Common Mistakes

  • Selling when price touches the upper band in a strong uptrend — it's a sign of strength.
  • Using Bollinger Bands alone for entry — always combine with RSI or volume.
  • Not recognizing squeezes — the longer the squeeze, the bigger the breakout.

More Volatility Indicators

Chaikin Volatility

Chaikin Volatility measures the rate of change of the difference between high and low prices, providing a unique view of how the trading range is expanding or contracting. Unlike <a href="/academy/indicators/atr" class="text-primary hover:underline">ATR</a>, which smooths absolute range, Chaikin Volatility focuses on the acceleration of range changes. It is useful in <a href="/market/stocks" class="text-primary hover:underline">stock</a> and <a href="/market/forex" class="text-primary hover:underline">forex</a> markets and can be explored alongside other volatility tools in our <a href="/academy/indicators" class="text-primary hover:underline">indicator guide library</a>.

Mass Index

The Mass Index identifies potential trend reversals by measuring the narrowing and widening of the range between high and low prices, generating a "reversal bulge" signal when the range first expands then contracts. It is a unique contrarian tool for <a href="/market/stocks" class="text-primary hover:underline">stock</a> and <a href="/market/forex" class="text-primary hover:underline">forex</a> traders. Combine Mass Index reversal signals with momentum tools from our <a href="/academy/indicators" class="text-primary hover:underline">indicator guide library</a> for higher-probability entries.

Keltner Channels

Keltner Channels plot an EMA with upper and lower bands based on <a href="/academy/indicators/atr" class="text-primary hover:underline">ATR</a>, producing smoother envelopes than <a href="/academy/indicators/bollinger-bands" class="text-primary hover:underline">Bollinger Bands</a> — and the two are frequently used together for the TTM Squeeze setup. This combination identifies low-volatility compression zones that precede explosive <a href="/guides/trade-breakouts" class="text-primary hover:underline">breakout</a> moves in any market. Apply Keltner Channels on <a href="/tools/platforms/tradingview" class="text-primary hover:underline">TradingView</a> and overlay Bollinger Bands to spot squeeze conditions with a single glance.

Ulcer Index

The Ulcer Index measures downside volatility by calculating the depth and duration of drawdowns from recent highs, providing a risk metric that focuses exclusively on the pain investors care about most. It was created by Peter Martin specifically for evaluating <a href="/market/stocks" class="text-primary hover:underline">stock</a> fund performance. Incorporate the Ulcer Index into your risk management alongside tools from our <a href="/academy/indicators" class="text-primary hover:underline">indicator guide library</a> to protect capital during volatile markets.

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