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 ⚡
5
Upper Walk ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 HCLTECHTOP 1294.9 +1.88% 1308.64 1177.12 1045.61
94.78%
22.35%
72.3 1.14L ▲ Upper Walk
2 LTMTOP 4190.8 +2.42% 4305.34 3926.48 3547.63
84.88%
19.3%
69.64 4.69L ▲ Upper Walk
3 TECHMTOP 1576.0 +1.06% 1625.55 1486.83 1348.1
82.14%
18.66%
75.35 32.4K ▲ Upper Walk
4 TCSTOP 2296.9 +1.89% 2335.3 2151.0 1966.7
89.58%
17.14%
72.83 87.6K ▲ Upper Walk
5 MPHASISTOP 2332.7 +1.95% 2456.83 2305.3 2153.76
59.04%
13.15%
46.95 7.26L — Normal
6 COFORGETOP 1531.0 +3.12% 1569.12 1486.61 1404.1
76.9%
11.1%
51.72 79.7K — Normal
7 INFYTOP 1078.3 +3.59% 1119.02 1060.34 1001.66
65.3%
11.07%
51.74 2.44L — Normal
8 WIPROTOP 178.53 +0.8% 179.56 174.95 170.35
88.82%
5.26%
63.16 1.25Cr ▲ Upper Walk

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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