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 ⚡
2
Upper Walk ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 INDIACEMTOP 406.85 -0.33% 414.29 388.07 361.85
85.81%
13.51%
63.49 140 ▲ Upper Walk
2 DALBHARATTOP 1811.5 -2.83% 1889.95 1783.52 1677.09
63.14%
11.93%
55.31 5.2K — Normal
3 JKCEMENTTOP 5668.5 -1.62% 5709.62 5467.1 5224.58
91.52%
8.87%
60.53 188 ▲ Upper Walk
4 SHREECEMTOP 26715.0 -0.02% 27513.96 26449.0 25384.04
62.49%
8.05%
51.2 203 — Normal
5 ULTRACEMCOTOP 11846.0 -0.52% 12090.0 11661.15 11232.3
71.55%
7.36%
54.8 2.29L — Normal
6 ACCTOP 1342.5 -1.21% 1409.39 1363.92 1318.46
26.44%
6.67%
38.32 2.0K — Normal
7 AMBUJACEMTOP 425.15 +0.38% 445.65 431.39 417.13
28.12%
6.61%
39.44 14.03L — Normal
8 RAMCOCEMTOP 914.95 +0.88% 950.78 928.2 905.61
20.68%
4.87%
40.81 2.0K — 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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