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 ⚡
1
Upper Walk ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 INDIACEMTOP 398.05 -2.2% 415.23 389.1 362.98
67.12%
13.43%
58.62 8.5K — Normal
2 DALBHARATTOP 1826.5 +0.87% 1890.61 1789.82 1689.03
68.2%
11.26%
55.26 3.06L — Normal
3 JKCEMENTTOP 5732.0 +1.47% 5745.69 5487.62 5229.56
97.35%
9.41%
69.64 1.1K ▲ Upper Walk
4 ULTRACEMCOTOP 11881.0 +0.3% 12100.06 11688.4 11276.74
73.39%
7.04%
55.95 2.51L — Normal
5 SHREECEMTOP 26775.0 +0.13% 27428.3 26534.75 25641.2
63.44%
6.73%
51.63 551 — Normal
6 AMBUJACEMTOP 430.95 +1.36% 445.61 431.72 417.84
47.21%
6.43%
46.8 11.41L — Normal
7 ACCTOP 1362.0 +1.57% 1408.54 1365.16 1321.78
46.36%
6.36%
44.63 6.4K — Normal
8 RAMCOCEMTOP 915.05 +0.03% 950.56 927.7 904.83
22.35%
4.93%
43.49 1.5K — 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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