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 ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ICICIPRULITOP 431.0 +0.6% 474.97 440.01 405.06
37.1%
15.89%
18.16 0 — Normal
2 ICICIGITOP 1574.0 +0.07% 1721.59 1626.23 1530.87
22.61%
11.73%
24.95 0 — Normal
3 HDFCLIFETOP 517.0 +0.56% 567.11 537.45 507.8
15.51%
11.04%
29.89 17.77L ▼ Lower Walk
4 SBILIFETOP 1652.0 -0.88% 1735.71 1672.83 1609.95
33.44%
7.52%
42.65 14.93L — 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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