Bollinger Band Squeeze Strategy

The Bollinger Band Squeeze is a volatility-based framework that looks for periods when price action is unusually quiet — Bollinger Bands narrow tightly, often contracting inside the Keltner Channels — and then watches for the directional move that can follow once volatility expands again. Traders use it to flag potential breakouts; it is not a signal that any trade will be profitable. This page explains how the setup is built and interpreted. Nothing here is predictive, and trading carries the risk of loss.

How it works

Entry rules

• Identify a squeeze: the Bollinger Bands are fully inside the Keltner Channels (lower BB above lower KC, upper BB below upper KC), indicating compressed volatility.
• Wait for the squeeze to release — the Bollinger Bands expand back outside the Keltner Channels.
• Use a directional trigger, not the squeeze itself: for example, a candle close above the upper Bollinger Band for a long bias, or a close below the lower band for a short bias.
• Optionally confirm direction with a momentum or trend filter (such as a momentum oscillator slope or a longer moving average) so the decision is not based on the squeeze release alone.
• Define position size and a stop before entry; the squeeze indicates volatility is low now, not where price will go.

Exit rules

• Place a protective stop based on volatility — for example below the most recent swing low (long) or above the swing high (short), or a multiple of ATR.
• Consider exiting if price closes back inside the bands or back through the breakout level, which can indicate the move failed to follow through (a false breakout).
• Optionally trail the stop using the opposite Bollinger Band or a moving average as the expansion continues.
• Reassess if a new squeeze forms while in the trade — renewed compression can precede another change in volatility regime in either direction.

Risk notes

• This is educational and software content, not financial advice or a recommendation to trade.
• Nothing here is predictive. The squeeze describes a volatility condition; it does not forecast price, returns, or outcomes.
• Trading involves the risk of loss, including the loss of capital. Use risk controls such as position sizing and stops.
• Any backtest or example is illustrative only — past performance does not predict future results.
• Bollinger Bands and Keltner Channels, and the TTM Squeeze concept, are tools for interpretation; what you see depends on settings, market, timeframe, and execution costs. Trademarks referenced belong to their respective owners.

Pine v6 example

//@version=6
strategy("Bollinger Band Squeeze (Illustrative)", overlay=true, margin_long=100, margin_short=100)

// --- Inputs ---
length = input.int(20, "Length")
bbMult = input.float(2.0, "Bollinger StdDev Mult", step=0.1)
kcMult = input.float(1.5, "Keltner ATR Mult", step=0.1)

// --- Shared basis (TTM-style: same SMA basis for BB and KC) ---
basis = ta.sma(close, length)

// --- Bollinger Bands (standard deviation based) ---
dev = bbMult * ta.stdev(close, length)
bbUpper = basis + dev
bbLower = basis - dev

// --- Keltner Channels (ATR based) ---
rangeMa = ta.atr(length)
kcUpper = basis + kcMult * rangeMa
kcLower = basis - kcMult * rangeMa

// --- Squeeze state: BBands fully inside Keltner Channels ---
squeezeOn = bbLower > kcLower and bbUpper < kcUpper
squeezeOff = bbLower < kcLower and bbUpper > kcUpper

// Squeeze "fires" when it was on last bar and is now off
fired = squeezeOff and squeezeOn[1]

// --- Directional trigger from price (not from the squeeze) ---
longTrigger = fired and close > bbUpper
shortTrigger = fired and close < bbLower

// --- Orders (illustrative only; past performance does not predict future results) ---
if longTrigger
    strategy.entry("Long", strategy.long)
if shortTrigger
    strategy.entry("Short", strategy.short)

// Volatility-based protective stop using ATR
atrStop = 2.0 * ta.atr(length)
strategy.exit("L-exit", from_entry="Long", stop=strategy.position_avg_price - atrStop)
strategy.exit("S-exit", from_entry="Short", stop=strategy.position_avg_price + atrStop)

// --- Plots ---
plot(bbUpper, "BB Upper", color.new(color.blue, 0))
plot(bbLower, "BB Lower", color.new(color.blue, 0))
plot(kcUpper, "KC Upper", color.new(color.orange, 50))
plot(kcLower, "KC Lower", color.new(color.orange, 50))
bgcolor(squeezeOn ? color.new(color.gray, 85) : na, title="Squeeze On")

Pitfalls

• The squeeze has no direction. A tight squeeze indicates volatility is low, not which way price will break — acting on the squeeze alone, without a price or momentum trigger, is a common mistake.
• False breakouts are frequent. Price can poke outside the bands and immediately reverse, so a single close beyond a band is weak confirmation on its own.
• Parameter sensitivity. Squeeze frequency depends heavily on the Bollinger length/multiplier and Keltner ATR multiplier; tuning these until a backtest looks good is curve-fitting and rarely holds up out of sample.
• Repainting and look-ahead risk if you reference future or higher-timeframe data incorrectly. Evaluate signals on confirmed bar close and avoid pulling not-yet-finished higher-timeframe values via request.security; confirm the logic uses confirmed bars only.
• Low-volatility regimes can persist. Bands can stay squeezed far longer than expected, and the eventual expansion is not guaranteed to occur or to be sustained.
• Backtest illusions. Any historical results are illustrative only — past performance does not predict future results, costs and slippage matter, and trading involves the risk of loss.

FAQ

Educational & software only — not financial advice, not a recommendation to trade. Backtests are illustrative; past performance does not predict future results. Trading involves substantial risk of loss.