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 ⚡
1
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 TATACOMMTOP 1972.7 -0.66% 2144.1 1808.37 1472.63
74.47%
37.13%
72.6 9.51L — Normal
2 IDEATOP 14.95 +0.13% 15.48 13.53 11.58
86.41%
28.83%
87.88 68.56Cr ▲ Upper Walk
3 BHARTIARTLTOP 1798.2 -1.14% 1944.86 1845.57 1746.27
26.15%
10.76%
25.3 39.27L — Normal
4 INDUSTOWERTOP 429.65 -0.19% 448.24 426.75 405.27
56.74%
10.07%
49.43 48.07L — 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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