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 ▲
2
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ZYDUSLIFETOP 1089.0 +0.41% 1140.69 1031.59 922.49
76.31%
21.15%
72.38 9.19L — Normal
2 GLENMARKTOP 2166.2 -0.66% 2454.49 2297.33 2140.17
8.28%
13.68%
36.96 5.13L ▼ Lower Walk
3 CIPLATOP 1401.3 +0.19% 1467.68 1388.63 1309.58
58.01%
11.39%
37.76 10.50L — Normal
4 AUROPHARMATOP 1462.3 -0.09% 1543.63 1476.53 1409.43
39.4%
9.09%
39.62 12.82L — Normal
5 SUNPHARMATOP 1782.2 +0.12% 1916.7 1839.95 1763.19
12.38%
8.34%
24.03 24.95L ▼ Lower Walk
6 DRREDDYTOP 1278.2 +0.84% 1351.44 1300.93 1250.42
27.5%
7.77%
29.79 7.75L — Normal
7 DIVISLABTOP 6623.0 +0.4% 6981.28 6739.4 6497.52
25.94%
7.18%
41.04 2.01L — Normal
8 LUPINTOP 2267.7 +0.8% 2331.28 2270.55 2209.83
47.65%
5.35%
47.48 10.24L — 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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