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)
20
Overbought
5
Oversold
0
Squeeze ⚡
31
Upper Walk ▲
22
Lower Walk ▼
180
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
151 CANBK 127.01 +1.08% 129.62 126.19 122.76
61.95%
5.44%
48.51 9.37L — Normal
152 CIPLA 1415.0 +0.31% 1477.06 1438.54 1400.02
19.44%
5.36%
33.28 51.0K ▼ Lower Walk
153 BATAINDIA 698.0 +1.17% 705.88 687.74 669.6
78.28%
5.28%
50.35 9.0K — Normal
154 ASIANPAINT 2710.0 +2.73% 2754.71 2685.26 2615.81
67.81%
5.17%
26.06 27.1K — Normal
155 IDFCFIRSTB 84.83 +5.0% 82.06 80.0 77.95
167.4%
5.14%
48.71 20.68L ● Overbought
156 BEL 407.15 +0.53% 421.79 411.49 401.19
28.93%
5.01%
28.62 96.84L — Normal
157 WIPRO 178.35 +0.69% 179.12 174.8 170.48
91.09%
4.94%
56.69 4.75L ▲ Upper Walk
158 SBIN 1020.6 +0.55% 1058.73 1033.39 1008.05
24.76%
4.9%
42.8 60.93L — Normal
159 IOC 141.89 +2.47% 143.79 140.36 136.92
72.34%
4.89%
42.56 3.33L — Normal
160 PIDILITIND 1614.0 +2.74% 1623.99 1585.38 1546.76
87.06%
4.87%
40.87 47.9K ▲ Upper Walk
161 RAMCOCEM 915.05 +0.03% 950.78 928.2 905.61
20.9%
4.87%
40.81 1.5K — Normal
162 TATACONSUM 1108.0 +1.84% 1125.32 1098.87 1072.41
67.27%
4.81%
40.26 57.5K — Normal
163 JINDALSTEL 1066.0 +2.92% 1065.77 1040.86 1015.94
100.46%
4.79%
42.11 24.3K ● Overbought
164 ALKEM 5615.0 -0.33% 5735.16 5603.1 5471.04
54.51%
4.71%
52.06 4.3K — Normal
165 JSWSTEEL 1248.9 +0.65% 1266.91 1237.92 1208.94
68.93%
4.68%
49.31 57.4K — Normal
166 TATASTEEL 184.25 +0.86% 191.71 187.37 183.02
14.15%
4.64%
30.51 1.19Cr ▼ Lower Walk
167 RELIANCE 1280.0 +0.16% 1328.74 1298.92 1269.1
18.28%
4.59%
38.43 71.63L ▼ Lower Walk
168 HINDALCO 945.25 +0.26% 980.06 958.15 936.24
20.56%
4.57%
30.74 20.35L — Normal
169 COALINDIA 427.0 -0.09% 441.36 431.63 421.9
26.21%
4.51%
36.21 2.09L — Normal
170 HINDCOPPER 483.0 -0.03% 502.6 491.72 480.84
9.93%
4.43%
41.46 43.9K ▼ Lower Walk
171 APOLLOHOSP 8837.0 +0.36% 9012.52 8823.92 8635.33
53.47%
4.27%
44.77 4.2K — Normal
172 PETRONET 272.9 -0.66% 282.56 276.69 270.81
17.79%
4.25%
49.21 13.09L ▼ Lower Walk
173 CUMMINSIND 5630.0 +0.53% 5674.94 5557.27 5439.61
80.9%
4.23%
51.41 13.7K ▲ Upper Walk
174 POWERGRID 287.95 -0.09% 291.46 285.5 279.53
70.58%
4.18%
54.33 3.76L — Normal
175 TATAPOWER 377.35 +0.79% 385.81 378.42 371.03
42.76%
3.91%
46.28 23.69L — Normal
176 NMDC 83.52 -0.05% 85.95 84.35 82.75
24.06%
3.79%
41.47 1.13Cr — Normal
177 GAIL 173.91 +2.29% 175.83 172.68 169.53
69.52%
3.65%
39.04 11.15L — Normal
178 IRCTC 494.0 -0.21% 510.67 501.52 492.37
8.91%
3.65%
37.66 46.8K ▼ Lower Walk
179 MARICO 858.5 +0.34% 863.52 848.16 832.81
83.65%
3.62%
58.8 59.3K ▲ Upper Walk
180 ESCORTS 2959.9 +1.89% 2992.31 2941.07 2889.83
68.37%
3.48%
38.61 3.8K — 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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