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 ▲
1
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 SBINTOP 964.4 -0.35% 1095.86 993.75 891.64
35.63%
20.55%
30.43 2.23Cr — Normal
2 PNBTOP 106.05 -0.58% 111.11 105.09 99.07
57.97%
11.46%
47.1 3.21Cr — Normal
3 INDUSINDBKTOP 914.45 -1.91% 952.91 914.34 875.76
50.15%
8.44%
38.55 0 — Normal
4 HDFCBANKTOP 744.55 -1.86% 796.96 769.15 741.35
5.75%
7.23%
36.45 10.13Cr ▼ Lower Walk
5 AXISBANKTOP 1286.6 -1.34% 1313.86 1270.59 1227.31
68.5%
6.81%
56.27 1.52Cr — Normal
6 KOTAKBANKTOP 382.6 -1.57% 393.68 382.22 370.76
51.66%
6.0%
53.07 0 — Normal
7 BANKBARODATOP 268.5 -0.9% 273.14 265.41 257.68
69.99%
5.82%
55.56 1.76Cr — Normal
8 ICICIBANKTOP 1256.4 -1.28% 1291.24 1258.89 1226.55
46.14%
5.14%
47.28 3.10Cr — 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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