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)
1
Overbought
0
Oversold
0
Squeeze ⚡
2
Upper Walk ▲
0
Lower Walk ▼
5
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ABBTOP 7327.5 -0.65% 7753.16 7156.05 6558.94
64.36%
16.69%
60.95 3.71L — Normal
2 BHELTOP 415.95 -0.32% 437.71 405.53 373.36
66.18%
15.87%
67.87 90.43L — Normal
3 LTTSTOP 3501.0 +2.43% 3547.46 3292.78 3038.11
90.88%
15.47%
66.28 2.1K ▲ Upper Walk
4 SIEMENSTOP 3712.4 +0.61% 3751.97 3586.44 3420.92
88.05%
9.23%
76.79 24.1K ▲ Upper Walk
5 HAVELLSTOP 1238.8 +0.97% 1235.21 1195.5 1155.79
104.52%
6.64%
53.89 28.3K ● Overbought

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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