Bollinger Band Scans

Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.

Live data

All Automobile & Ancillaries Banks Chemicals Construction Materials Finance FMCG Gases Capital Goods Healthcare Infrastructure Insurance Media Metals & Mining Other Power & Energy Real Estate Software & IT Telecom

Signal Key: Overbought — price ≥ Upper Band Oversold — price ≤ Lower Band Squeeze — bandwidth near 20-day low Upper Walk — %B ≥ 80 (momentum) Lower Walk — %B ≤ 20 (weakness)

Overbought

Oversold

Squeeze ⚡

Upper Walk ▲

Lower Walk ▼

Total Scanned

Filter:

#	Symbol	LTP	Chg %	Upper	Middle	Lower	%B Position	Bandwidth	RSI	Volume	Signal
1	IDEATOP	13.99	-1.34%	15.15	12.59	10.03	77.34%	40.67%	84.99	0	— Normal
2	TATACOMMTOP	1940.7	-1.32%	2049.34	1715.99	1382.64	83.7%	38.85%	77.07	0	▲ Upper Walk
3	INDUSTOWERTOP	440.95	+1.08%	448.51	420.46	392.42	86.52%	13.34%	75.25	0	▲ Upper Walk
4	BHARTIARTLTOP	1829.0	-1.25%	1948.36	1851.28	1754.2	38.52%	10.49%	49.29	5.29Cr	— Normal

#	Symbol	LTP	Chg %	Upper	Middle	Lower	%B Position	Bandwidth	RSI	Volume	Signal
1	INDUSTOWERTOP	440.95	+1.08%	448.51	420.46	392.42	86.52%	13.34%	75.25	0	▲ Upper Walk
2	TATACOMMTOP	1940.7	-1.32%	2049.34	1715.99	1382.64	83.7%	38.85%	77.07	0	▲ Upper Walk

Based on 20-period Bollinger Bands (2σ) on daily candles. Squeeze = bandwidth near 20-session low. · Auto-refresh every 60s during market hours

What Are Bollinger Bands?

Bollinger Bands is a popular technical indicator developed by analyst John Bollinger in the 1980s. It consists of three lines plotted around a simple moving average to measure market volatility and identify overbought or oversold conditions.

Upper Band: 20-day SMA + (20-day standard deviation of price × 2)
Middle Band: 20-day Simple Moving Average (SMA)
Lower Band: 20-day SMA − (20-day standard deviation of price × 2)

When the bands widen, volatility is increasing — more trading opportunities. When bands narrow (squeeze), volatility is low and a breakout is likely approaching.

How to Use Bollinger Bands in Trading

Price near Lower Band: Potential buying opportunity if the band holds; breakdown signal if price breaks below.
Price near Upper Band: Potential selling opportunity if the band holds; breakout signal if price breaks above.
Bollinger Squeeze: Bands narrow — anticipate a high-momentum breakout or breakdown.
Upper Band Walk: Price consistently touches the upper band — strong uptrend in progress.
Lower Band Walk: Price consistently touches the lower band — strong downtrend in progress.
%B above 1.0: Price is above the upper band — overbought; watch for reversal.
%B below 0.0: Price is below the lower band — oversold; watch for bounce.

Bollinger Band Formulas

Upper Band = 20-day SMA + (20-day std dev × 2)
Middle Band = 20-day SMA
Lower Band = 20-day SMA − (20-day std dev × 2)
%B = (Price − Lower Band) / (Upper Band − Lower Band)
Bandwidth = (Upper Band − Lower Band) / Middle Band

Related Tools

What Are Bollinger Bands?

Upper Band: 20-day SMA + (20-day standard deviation of price × 2)
Middle Band: 20-day Simple Moving Average (SMA)
Lower Band: 20-day SMA − (20-day standard deviation of price × 2)

When the bands widen, volatility is increasing — more trading opportunities. When bands narrow (squeeze), volatility is low and a breakout is likely approaching.

How to Use Bollinger Bands in Trading

Price near Lower Band: Potential buying opportunity if the band holds; breakdown signal if price breaks below.
Price near Upper Band: Potential selling opportunity if the band holds; breakout signal if price breaks above.
Bollinger Squeeze: Bands narrow — anticipate a high-momentum breakout or breakdown.
Upper Band Walk: Price consistently touches the upper band — strong uptrend in progress.
Lower Band Walk: Price consistently touches the lower band — strong downtrend in progress.
%B above 1.0: Price is above the upper band — overbought; watch for reversal.
%B below 0.0: Price is below the lower band — oversold; watch for bounce.

Bollinger Band Formulas

Upper Band = 20-day SMA + (20-day std dev × 2)
Middle Band = 20-day SMA
Lower Band = 20-day SMA − (20-day std dev × 2)
%B = (Price − Lower Band) / (Upper Band − Lower Band)
Bandwidth = (Upper Band − Lower Band) / Middle Band