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 ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 WIPROTOP 197.62 -0.69% 207.17 189.05 170.92
73.66%
19.18%
64.43 0 — Normal
2 TECHMTOP 1781.7 -1.29% 1928.59 1769.13 1609.67
53.94%
18.03%
43.1 0 — Normal
3 COFORGETOP 2032.0 -0.73% 2123.58 1994.06 1864.54
64.65%
12.99%
61.73 0 — Normal
4 TCSTOP 2454.0 -0.86% 2607.12 2464.68 2322.25
46.25%
11.56%
41.64 0 — Normal
5 INFYTOP 1148.3 -0.5% 1206.91 1146.13 1085.35
51.79%
10.61%
47.42 0 — Normal
6 HCLTECHTOP 1401.8 -0.37% 1472.82 1405.4 1337.99
47.33%
9.59%
45.1 0 — Normal
7 LTMTOP 4243.5 -1.73% 4424.24 4231.43 4038.62
53.13%
9.11%
51.4 0 — Normal
8 MPHASISTOP 2417.6 -1.52% 2604.39 2513.33 2422.27
-2.56%
7.25%
41.06 0 ● Oversold

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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