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)
4
Overbought
4
Oversold
0
Squeeze ⚡
14
Upper Walk ▲
24
Lower Walk ▼
116
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
101 IDFCFIRSTB 80.79 +1.11% 82.06 80.0 77.95
69.1%
5.14%
48.71 1.63Cr — Normal
102 BEL 405.0 -0.09% 421.79 411.49 401.19
18.5%
5.01%
28.62 61.77L ▼ Lower Walk
103 PIDILITIND 1570.9 +0.43% 1623.99 1585.38 1546.76
31.26%
4.87%
40.87 22.00L — Normal
104 RAMCOCEM 914.95 +0.88% 950.78 928.2 905.61
20.68%
4.87%
40.81 2.0K — Normal
105 TATACONSUM 1088.0 -1.78% 1125.32 1098.87 1072.41
29.47%
4.81%
40.26 16.45L — Normal
106 ALKEM 5642.5 +1.03% 5735.16 5603.1 5471.04
64.92%
4.71%
52.06 603 — Normal
107 COALINDIA 427.4 +0.08% 441.36 431.63 421.9
28.26%
4.51%
36.21 54.03L — Normal
108 HINDCOPPER 483.15 -1.25% 502.6 491.72 480.84
10.62%
4.43%
41.46 10.4K ▼ Lower Walk
109 APOLLOHOSP 8799.0 -1.56% 9012.52 8823.92 8635.33
43.39%
4.27%
44.77 6.1K — Normal
110 PETRONET 274.7 +1.95% 282.56 276.69 270.81
33.11%
4.25%
49.21 24.67L — Normal
111 CUMMINSIND 5600.5 +0.03% 5674.94 5557.27 5439.61
68.37%
4.23%
51.41 2.91L — Normal
112 TATAPOWER 374.4 -0.47% 385.81 378.42 371.03
22.8%
3.91%
46.28 17.01L — Normal
113 NMDC 83.56 +1.11% 85.95 84.35 82.75
25.31%
3.79%
41.47 1.61Cr — Normal
114 IRCTC 495.4 +0.27% 510.67 501.52 492.37
16.56%
3.65%
37.66 2.5K ▼ Lower Walk
115 MARICO 855.6 +0.28% 863.52 848.16 832.81
74.21%
3.62%
58.8 19.68L — Normal
116 ESCORTS 2911.6 -1.25% 2992.31 2941.07 2889.83
21.24%
3.48%
38.61 3.2K — Normal
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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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