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 ICICIGITOP 1619.9 +2.3% 1898.14 1734.68 1571.23
14.89%
18.85%
32.07 33.6K ▼ Lower Walk
2 ICICIPRULITOP 501.5 +0.4% 520.33 497.57 474.81
58.63%
9.15%
56.68 14.90L — Normal
3 SBILIFETOP 1853.5 +2.59% 1881.89 1812.52 1743.14
79.54%
7.66%
59.55 9.12L — Normal
4 HDFCLIFETOP 550.95 -0.39% 585.06 566.19 547.32
9.62%
6.67%
42.06 23.00L ▼ 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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