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 ⚡
2
Upper Walk ▲
3
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 DRREDDYTOP 1151.0 -0.06% 1411.81 1261.43 1111.05
13.28%
23.84%
9.4 30.0K ▼ Lower Walk
2 DIVISLABTOP 7414.0 +2.28% 7608.26 7028.12 6447.99
83.26%
16.51%
79.51 5.45L ▲ Upper Walk
3 GLENMARKTOP 2196.0 +0.18% 2323.01 2239.18 2155.35
24.25%
7.49%
36.92 5.94L — Normal
4 LUPINTOP 2410.0 +1.67% 2543.79 2455.4 2367.01
24.32%
7.2%
41.16 11.79L — Normal
5 SUNPHARMATOP 1973.7 +1.68% 1990.08 1925.57 1861.06
87.3%
6.7%
64.85 54.14L ▲ Upper Walk
6 ZYDUSLIFETOP 1108.2 -0.05% 1172.0 1134.47 1096.94
15.0%
6.62%
32.58 6.07L ▼ Lower Walk
7 AUROPHARMATOP 1547.6 +1.02% 1607.48 1560.59 1513.7
36.15%
6.01%
43.13 38.0K — Normal
8 CIPLATOP 1409.4 -0.09% 1476.12 1436.3 1396.49
16.21%
5.54%
37.17 11.62L ▼ Lower 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.

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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