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 ▲
1
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 COFORGETOP 1435.5 -0.07% 1506.38 1387.43 1268.48
70.21%
17.15%
65.61 25.25L — Normal
2 TECHMTOP 1483.5 -0.26% 1555.5 1448.6 1341.69
66.33%
14.76%
63.48 22.02L — Normal
3 MPHASISTOP 2330.0 +0.61% 2379.67 2229.93 2080.19
83.41%
13.43%
73.68 3.42L ▲ Upper Walk
4 WIPROTOP 198.37 -2.91% 211.84 198.85 185.86
48.15%
13.07%
59.9 4.35Cr — Normal
5 INFYTOP 1197.5 -0.32% 1250.21 1173.7 1097.2
65.55%
13.04%
63.12 86.92L — Normal
6 LTMTOP 4027.2 -1.0% 4363.88 4106.41 3848.95
34.62%
12.54%
52.29 2.48L — Normal
7 TCSTOP 2198.9 -1.88% 2415.68 2300.3 2184.92
6.06%
10.03%
44.43 50.20L ▼ Lower Walk
8 HCLTECHTOP 1154.7 -1.16% 1221.27 1169.2 1117.14
36.07%
8.91%
54.64 19.71L — 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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