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 ⚡
1
Upper Walk ▲
1
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ICICIGITOP 1681.0 +1.16% 1884.96 1722.74 1560.52
37.13%
18.83%
37.93 9.04L — Normal
2 ICICIPRULITOP 509.8 +1.85% 521.85 499.06 476.27
73.56%
9.13%
58.51 19.12L — Normal
3 SBILIFETOP 1866.8 +0.44% 1885.03 1823.77 1762.51
85.12%
6.72%
55.62 10.99L ▲ Upper Walk
4 HDFCLIFETOP 552.85 -0.4% 578.86 563.15 547.43
17.24%
5.58%
40.2 13.69L ▼ 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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