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)
2
Overbought
4
Oversold
0
Squeeze ⚡
13
Upper Walk ▲
36
Lower Walk ▼
116
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
101 SRF 2704.9 -0.8% 2803.32 2703.47 2603.63
50.71%
7.39%
52.07 1.62L — Normal
102 CANFINHOME 807.9 -1.05% 867.96 837.73 807.5
0.66%
7.22%
26.08 1.62L ▼ Lower Walk
103 INDIAMART 2000.4 +0.31% 2075.48 2004.36 1933.24
47.22%
7.1%
61.33 27.1K — Normal
104 UNITDSPR 1246.7 -0.24% 1320.25 1276.85 1233.45
15.26%
6.8%
30.13 2.71L ▼ Lower Walk
105 ACC 1329.8 -1.55% 1414.68 1368.88 1323.09
7.33%
6.69%
41.93 4.33L ▼ Lower Walk
106 DLF 577.7 -0.02% 602.93 583.79 564.66
34.07%
6.56%
57.35 33.88L — Normal
107 TORNTPHARM 4420.9 +1.87% 4561.22 4419.73 4278.23
50.42%
6.4%
50.91 4.25L — Normal
108 BAJAJ-AUTO 10342.0 -0.19% 10775.02 10442.48 10109.93
34.89%
6.37%
49.02 2.47L — Normal
109 CUB 244.85 -0.53% 258.37 250.49 242.62
14.16%
6.29%
40.0 13.24L ▼ Lower Walk
110 COALINDIA 472.3 -1.94% 477.41 463.25 449.09
81.96%
6.11%
58.74 95.93L ▲ Upper Walk
111 APOLLOHOSP 8304.5 +0.67% 8413.75 8167.85 7921.95
77.79%
6.02%
60.22 1.88L — Normal
112 BALRAMCHIN 531.8 -0.08% 549.93 533.91 517.89
43.41%
6.0%
45.84 5.41L — Normal
113 MRF 123505.0 -0.97% 130341.91 126582.0 122822.09
9.08%
5.94%
32.62 7.2K ▼ Lower Walk
114 INDHOTEL 657.6 -0.6% 673.39 655.38 637.38
56.15%
5.49%
50.62 11.51L — Normal
115 MARICO 810.65 -0.76% 847.98 826.88 805.78
11.54%
5.1%
32.61 18.01L ▼ Lower Walk
116 PIDILITIND 1476.6 +0.37% 1493.15 1466.2 1439.25
69.29%
3.68%
54.32 4.89L — 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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