by 
This strategy detects Bollinger Band squeezes by measuring band width against a threshold. It waits for a confirmed breakout in either direction when bands expand, using optional volume confirmation. Long and short signals trigger on breakout after squeeze. Po
Strategy · Pine Script v5 · On the chart
BB Squeeze Breakout
BB Squeeze Breakout is a volatility breakout strategy that identifies consolidation squeezes using Bollinger Band width percentile ranking.
GitHub stars7on the repository
Pine versionv5runs as is
Lines of code43
Settings5inputs
LicenceMIT
Last update3 months ago8 Jul 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
43 lines of Pine Script v5 from public/code/indicators__bb_squeeze.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
//@version=5
strategy("BB Squeeze Breakout", overlay=true,
default_qty_type=strategy.percent_of_equity, default_qty_value=10)
bbLen = input.int(20, "BB Period")
bbStd = input.float(2.0, "BB Std")
sqLb = input.int(50, "Squeeze Lookback")
volMult = input.float(1.2, "Volume Mult")
useVol = input.bool(true, "Use Volume Filter")
basis = ta.sma(close, bbLen)
dev = bbStd * ta.stdev(close, bbLen)
upper = basis + dev
lower = basis - dev
width = (upper - lower) / basis
avgVol = ta.sma(volume, 20)
volOk = not useVol or volume > avgVol * volMult
// Squeeze: width below the 25th percentile over the last 5 candles
widthQ25 = ta.percentile_nearest_rank(width, sqLb, 25)
inSqueeze = ta.lowest(width, 5) < widthQ25
longBO = inSqueeze and close > upper and close[1] <= upper[1] and volOk
shortBO = inSqueeze and close < lower and close[1] >= lower[1] and volOk
if longBO and strategy.position_size == 0
sl = basis
risk = close - sl
strategy.entry("BBs L", strategy.long)
strategy.exit("X", "BBs L", stop=sl, limit=close + risk * 2.5)
if shortBO and strategy.position_size == 0
sl = basis
risk = sl - close
strategy.entry("BBs S", strategy.short)
strategy.exit("X", "BBs S", stop=sl, limit=close - risk * 2.5)
plot(upper, "Upper BB", color.red)
plot(basis, "Mid BB", color.yellow)
plot(lower, "Lower BB", color.green)
plotshape(longBO, "L", shape.triangleup, location.belowbar, color.lime)
plotshape(shortBO, "S", shape.triangledown, location.abovebar, color.red)
Overview
When the band width drops below its 25th percentile and price crosses above or below the bands with optional volume confirmation, it triggers long or short entries. Stop loss is set at the middle band, and take profit is set at 2.5 times the initial risk distance. It plots Bollinger Bands and trade signals directly on the main price chart.
- Bollinger Band squeeze detection via width percentile ranking
- Volume confirmation filter for breakout validation
- Dynamic stop loss set at the Bollinger middle band
- Fixed 2.5:1 reward-to-risk ratio profit target
Details
Published by
muammeryldrm42 on GitHub
Type
Strategy, Pine Script v5
Draws
On the price chart
Category
Volatility & bands, Breakout, Moving averages, Volume
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.
Topics
cryptofuturessodexsosovaluestrategyvaluechain
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| BB Period | int | 20 | bbLen |
| BB Std | float | 2.0 | bbStd |
| Squeeze Lookback | int | 50 | sqLb |
| Volume Mult | float | 1.2 | volMult |
| Use Volume Filter | bool | true | useVol |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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