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 ⚡
2
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 HDFCLIFETOP 631.5 -1.4% 651.95 620.29 588.62
67.7%
10.21%
79.19 30.23L — Normal
2 ICICIGITOP 1886.7 +1.28% 1888.3 1810.87 1733.43
99.0%
8.55%
92.71 11.96L ▲ Upper Walk
3 SBILIFETOP 1974.7 +0.27% 1988.46 1936.43 1884.4
86.8%
5.37%
85.52 6.42L ▲ Upper Walk
4 ICICIPRULITOP 557.95 -0.76% 565.58 551.47 537.36
73.0%
5.12%
76.64 30.16L — 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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