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 ⚡
0
Upper Walk ▲
5
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 DRREDDYTOP 1151.3 -2.66% 1421.92 1272.67 1123.43
9.34%
23.45%
8.96 7.8K ▼ Lower Walk
2 DIVISLABTOP 7248.5 -0.77% 7571.59 6985.3 6399.01
72.45%
16.79%
69.38 3.29L — Normal
3 GLENMARKTOP 2192.0 -0.59% 2323.6 2238.71 2153.82
22.49%
7.58%
35.13 4.30L — Normal
4 LUPINTOP 2370.9 -1.5% 2543.83 2455.37 2366.9
2.26%
7.21%
35.43 6.2K ▼ Lower Walk
5 SUNPHARMATOP 1941.1 -0.66% 1984.78 1920.62 1856.47
65.96%
6.68%
56.63 15.79L — Normal
6 ZYDUSLIFETOP 1108.7 -0.46% 1171.23 1135.12 1099.02
13.41%
6.36%
35.29 8.37L ▼ Lower Walk
7 AUROPHARMATOP 1532.0 +0.56% 1607.49 1560.5 1513.5
19.68%
6.02%
36.93 4.47L ▼ Lower Walk
8 CIPLATOP 1411.7 -0.24% 1477.06 1438.54 1400.02
15.16%
5.36%
33.28 43.6K ▼ 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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