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 ▲
3
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ICICIPRULITOP 483.25 +1.29% 570.51 517.78 465.06
17.25%
20.37%
27.01 16.29L ▼ Lower Walk
2 HDFCLIFETOP 575.3 +0.27% 634.78 602.74 570.7
7.18%
10.63%
28.37 38.83L ▼ Lower Walk
3 ICICIGITOP 1758.0 +1.45% 1882.36 1802.95 1723.54
21.7%
8.81%
37.05 7.56L — Normal
4 SBILIFETOP 1782.8 +1.01% 1921.33 1846.08 1770.82
7.96%
8.15%
33.22 7.15L ▼ 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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