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 ⚡
3
Upper Walk ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 HCLTECHTOP 1245.0 +0.62% 1275.87 1158.93 1042.0
86.8%
20.18%
69.3 95.1K ▲ Upper Walk
2 LTMTOP 3974.8 -0.19% 4250.94 3884.79 3518.64
62.29%
18.85%
63.27 17.6K — Normal
3 TECHMTOP 1566.3 +0.37% 1604.01 1473.64 1343.28
85.54%
17.69%
76.31 92.7K ▲ Upper Walk
4 TCSTOP 2243.9 +1.61% 2299.19 2133.13 1967.08
83.35%
15.57%
66.29 1.06L ▲ Upper Walk
5 MPHASISTOP 2232.4 -1.82% 2455.24 2297.82 2140.39
29.22%
13.7%
45.18 5.59L — Normal
6 INFYTOP 1052.9 +0.08% 1117.09 1058.23 999.37
45.47%
11.12%
50.05 4.28L — Normal
7 COFORGETOP 1444.0 -1.86% 1565.55 1485.17 1404.79
24.39%
10.82%
46.22 38.9K — Normal
8 WIPROTOP 175.06 +0.36% 178.88 174.7 170.51
54.36%
4.79%
46.91 3.78L — 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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