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)
3
Overbought
7
Oversold
0
Squeeze ⚡
15
Upper Walk ▲
52
Lower Walk ▼
180
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
151 ADANIPORTS 1825.0 +1.9% 1846.28 1784.28 1722.28
82.84%
6.95%
56.17 61.9K ▲ Upper Walk
152 SBIN 977.0 -0.23% 999.63 966.42 933.21
65.93%
6.87%
57.28 2.84L — Normal
153 UNITDSPR 1247.1 -0.21% 1320.25 1276.85 1233.45
15.73%
6.8%
30.13 11.4K ▼ Lower Walk
154 ACC 1330.0 -1.54% 1414.68 1368.88 1323.09
7.54%
6.69%
41.93 5.0K ▼ Lower Walk
155 AXISBANK 1273.3 +1.6% 1308.39 1266.47 1224.56
58.14%
6.62%
57.86 1.81L — Normal
156 BHARATFORG 1930.5 -0.36% 1988.39 1925.22 1862.06
54.18%
6.56%
53.28 10.2K — Normal
157 DLF 577.9 +0.02% 602.93 583.79 564.66
34.6%
6.56%
57.35 69.4K — Normal
158 UPL 637.0 -0.34% 662.27 641.31 620.35
39.72%
6.54%
53.61 1.13L — Normal
159 TORNTPHARM 4416.0 +1.75% 4561.22 4419.73 4278.23
48.68%
6.4%
50.91 13.6K — Normal
160 BAJAJ-AUTO 10350.0 -0.12% 10775.02 10442.48 10109.93
36.1%
6.37%
49.02 5.3K — Normal
161 ASIANPAINT 2677.0 +0.58% 2709.61 2626.05 2542.48
80.49%
6.36%
68.94 47.8K ▲ Upper Walk
162 HDFCBANK 748.2 -0.8% 784.78 760.65 736.51
24.22%
6.35%
39.89 8.83L — Normal
163 CUB 243.8 -0.95% 258.37 250.49 242.62
7.49%
6.29%
40.0 29.4K ▼ Lower Walk
164 GODREJCP 995.1 -0.03% 1051.98 1020.23 988.47
10.44%
6.23%
36.23 34.5K ▼ Lower Walk
165 COALINDIA 471.7 -2.07% 477.41 463.25 449.09
79.84%
6.11%
58.74 2.10L — Normal
166 APOLLOHOSP 8314.5 +0.79% 8413.75 8167.85 7921.95
79.82%
6.02%
60.22 8.4K — Normal
167 BALRAMCHIN 531.25 -0.18% 549.93 533.91 517.89
41.7%
6.0%
45.84 16.5K — Normal
168 MRF 123400.0 -1.05% 130341.91 126582.0 122822.09
7.69%
5.94%
32.62 702 ▼ Lower Walk
169 SHREECEM 24110.0 -1.53% 25626.47 24890.5 24154.53
-3.03%
5.91%
36.15 825 ● Oversold
170 JINDALSTEL 1183.0 -1.19% 1254.12 1218.82 1183.51
-0.72%
5.79%
29.54 12.4K ● Oversold
171 BANKBARODA 264.0 -2.69% 273.14 265.48 257.83
40.3%
5.77%
53.05 3.56L — Normal
172 MARUTI 13035.0 -0.22% 13514.95 13137.35 12759.75
36.45%
5.75%
43.26 9.8K — Normal
173 LT 3962.1 +0.51% 4070.66 3959.82 3848.98
51.03%
5.6%
56.55 30.9K — Normal
174 INDHOTEL 657.0 -0.69% 673.39 655.38 637.38
54.48%
5.49%
50.62 19.8K — Normal
175 LUPIN 2265.0 +0.68% 2331.28 2270.55 2209.83
45.43%
5.35%
47.48 25.9K — Normal
176 ICICIBANK 1260.3 +0.69% 1285.05 1252.8 1220.55
61.63%
5.15%
55.01 2.45L — Normal
177 MARICO 809.3 -0.92% 847.98 826.88 805.78
8.34%
5.1%
32.61 65.6K ▼ Lower Walk
178 KOTAKBANK 376.95 -1.19% 392.24 382.93 373.61
17.93%
4.87%
41.09 3.62L ▼ Lower Walk
179 JSWSTEEL 1286.6 -1.11% 1317.5 1287.49 1257.48
48.52%
4.66%
51.75 46.7K — Normal
180 PIDILITIND 1473.1 +0.14% 1493.15 1466.2 1439.25
62.8%
3.68%
54.32 13.6K — 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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