Bollinger Band Scans

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

Live data

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	Signal
1	IDEATOP	11.77	-2.89%	13.44	12.38	11.31	21.6%	17.21%	33.7	— Normal
2	BHARTIARTLTOP	1962.0	-0.51%	2004.03	1862.9	1721.78	85.11%	15.15%	72.66	▲ Upper Walk
3	TATACOMMTOP	1671.2	-2.23%	1743.75	1687.18	1630.62	35.87%	6.71%	52.35	— Normal
4	INDUSTOWERTOP	379.05	-1.29%	389.55	380.67	371.79	40.88%	4.67%	48.11	— Normal

#	Symbol	LTP	Chg %	Upper	Middle	Lower	%B Position	Bandwidth	RSI	Volume	Signal
1	BHARTIARTLTOP	1962.0	-0.51%	2004.03	1862.9	1721.78	85.11%	15.15%	72.66	0	▲ Upper Walk

#	Symbol	LTP	Chg %	Upper	Middle	Lower	%B Position	Bandwidth	RSI	Signal
1	IDEATOP	11.77	-2.89%	13.44	12.38	11.31	21.6%	17.21%	33.7	— Normal
2	TATACOMMTOP	1671.2	-2.23%	1743.75	1687.18	1630.62	35.87%	6.71%	52.35	— Normal
3	INDUSTOWERTOP	379.05	-1.29%	389.55	380.67	371.79	40.88%	4.67%	48.11	— Normal

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