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 ▲
0
Lower Walk ▼
9
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 VEDLTOP 234.55 +0.64% 271.45 245.72 219.99
28.29%
20.94%
26.23 1.05Cr — Normal
2 ADANIENTTOP 2607.9 +5.17% 2872.98 2644.39 2415.8
42.02%
17.29%
45.08 22.40L — Normal
3 NATIONALUMTOP 323.5 +0.0% 338.34 319.25 300.16
61.13%
11.96%
49.25 27.46L — Normal
4 BHARATFORGTOP 1766.3 +0.36% 1899.38 1799.28 1699.17
33.53%
11.13%
33.53 13.34L — Normal
5 SAILTOP 159.44 -0.97% 179.07 169.71 160.35
-4.86%
11.03%
33.13 0 ● Oversold
6 JSWSTEELTOP 1248.0 -0.59% 1281.43 1218.43 1155.43
73.47%
10.34%
65.8 0 — Normal
7 JINDALSTELTOP 1060.0 +1.14% 1097.42 1045.6 993.77
63.9%
9.91%
64.06 7.67L — Normal
8 HINDALCOTOP 886.3 -0.83% 938.31 899.08 859.85
33.71%
8.73%
44.92 50.02L — Normal
9 TATASTEELTOP 169.46 +0.11% 179.74 173.2 166.66
21.41%
7.55%
36.76 1.37Cr — 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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