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 ABBTOP 7167.5 +0.16% 7452.83 6760.12 6067.42
79.4%
20.49%
76.21 2.50L — Normal
2 LTTSTOP 3212.7 -1.82% 3787.74 3501.72 3215.69
-0.52%
16.34%
35.39 1.51L ● Oversold
3 SIEMENSTOP 3700.8 +0.38% 3884.27 3686.84 3489.42
53.53%
10.71%
56.09 3.44L — Normal
4 BHELTOP 386.95 -0.58% 424.73 405.44 386.14
2.1%
9.52%
43.02 1.74Cr ▼ Lower Walk
5 HAVELLSTOP 1150.5 -1.36% 1247.9 1194.99 1142.08
7.96%
8.86%
35.04 7.51L ▼ 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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