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 ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ICICIPRULITOP 503.95 -3.62% 569.3 532.36 495.41
11.56%
13.88%
22.26 61.50L ▼ Lower Walk
2 HDFCLIFETOP 594.8 -2.43% 630.19 608.3 586.41
19.16%
7.2%
35.24 1.11Cr ▼ Lower Walk
3 ICICIGITOP 1792.2 -3.16% 1875.37 1814.5 1753.62
31.69%
6.71%
44.73 29.17L — Normal
4 SBILIFETOP 1864.5 -0.99% 1904.53 1858.35 1812.16
56.66%
4.97%
41.87 3.73L — 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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