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
3
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
4
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 JKCEMENTTOP 4947.5 +0.56% 5742.22 5317.52 4892.83
6.44%
15.97%
27.82 65.8K ▼ Lower Walk
2 RAMCOCEMTOP 880.7 +0.38% 959.69 902.14 844.59
31.37%
12.76%
40.58 1.21L — Normal
3 ULTRACEMCOTOP 10912.0 -0.77% 12006.2 11469.6 10933.0
-1.96%
9.36%
31.7 4.25L ● Oversold
4 INDIACEMTOP 380.95 +0.12% 413.87 395.39 376.9
10.95%
9.35%
32.39 1.23L ▼ Lower Walk
5 AMBUJACEMTOP 417.55 -2.06% 455.39 436.64 417.89
-0.91%
8.59%
40.73 73.72L ● Oversold
6 DALBHARATTOP 1688.6 -2.13% 1829.91 1755.27 1680.63
5.34%
8.5%
43.4 2.61L ▼ Lower Walk
7 ACCTOP 1329.8 -1.55% 1414.68 1368.88 1323.09
7.33%
6.69%
41.93 4.33L ▼ Lower Walk
8 SHREECEMTOP 24085.0 -1.63% 25626.47 24890.5 24154.53
-4.72%
5.91%
36.15 22.3K ● 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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