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
1
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
2
Lower Walk ▼
5
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 HAVELLSTOP 1111.9 +0.27% 1343.8 1216.85 1089.9
8.66%
20.87%
14.44 6.83L ▼ Lower Walk
2 LTTSTOP 3350.0 -0.6% 3672.1 3507.43 3342.77
2.2%
9.39%
19.75 32.0K ▼ Lower Walk
3 BHELTOP 430.7 +0.58% 442.4 425.59 408.78
65.2%
7.9%
60.44 64.32L — Normal
4 SIEMENSTOP 3931.0 -0.48% 4129.58 3991.23 3852.89
28.23%
6.93%
24.56 1.54L — Normal
5 ABBTOP 7240.0 -0.82% 7681.18 7468.23 7255.27
-3.59%
5.7%
36.63 1.87L ● Oversold

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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