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)
0
Overbought
0
Oversold
0
Squeeze ⚡
1
Upper Walk ▲
1
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ADANIPORTSTOP 1767.5 +0.08% 1778.34 1698.95 1619.56
93.17%
9.35%
61.82 15.88L ▲ Upper Walk
2 LTFTOP 310.25 +0.18% 324.57 315.3 306.03
22.76%
5.88%
44.69 39.14L — Normal
3 LTTOP 3939.5 +0.11% 4136.66 4018.68 3900.69
16.45%
5.87%
28.59 11.49L ▼ Lower Walk
4 POWERGRIDTOP 269.0 -0.72% 272.1 266.89 261.69
70.22%
3.9%
44.85 1.08Cr — 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.

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

Bollinger Band Formulas

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