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 TATACOMMTOP 1739.5 -2.02% 1969.22 1852.47 1735.72
1.62%
12.6%
21.56 12.7K ▼ Lower Walk
2 IDEATOP 13.06 -0.53% 14.71 13.85 12.98
4.62%
12.49%
30.35 24.75Cr ▼ Lower Walk
3 INDUSTOWERTOP 387.4 -1.82% 413.38 395.71 378.04
26.49%
8.93%
53.5 39.24L — Normal
4 BHARTIARTLTOP 1905.3 +0.37% 1963.83 1912.93 1862.04
42.5%
5.32%
46.31 52.30L — 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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