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
5
Oversold
0
Squeeze ⚡
12
Upper Walk ▲
35
Lower Walk ▼
116
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
101 MOTHERSON 156.5 -2.19% 162.8 157.33 151.85
42.47%
6.96%
55.92 89.86L — Normal
102 TATAPOWER 345.05 +0.15% 358.25 346.48 334.72
43.9%
6.79%
52.83 35.36L — Normal
103 TATACOMM 1671.2 -2.23% 1743.75 1687.18 1630.62
35.87%
6.71%
52.35 0 — Normal
104 CANBK 117.54 -1.88% 122.93 118.97 115.0
32.03%
6.67%
46.88 1.82Cr — Normal
105 GRANULES 839.75 +0.29% 847.66 820.47 793.28
85.45%
6.63%
58.25 7.79L ▲ Upper Walk
106 TORNTPHARM 4613.4 +0.73% 4779.03 4626.35 4473.67
45.76%
6.6%
45.96 4.37L — Normal
107 ABBOTINDIA 25635.0 -1.95% 26716.51 25883.0 25049.49
35.12%
6.44%
45.71 8.6K — Normal
108 M&M 2840.3 -1.72% 2930.97 2850.34 2769.7
43.78%
5.66%
55.24 18.59L — Normal
109 IGL 138.75 -2.04% 146.41 142.49 138.56
2.42%
5.51%
31.86 0 ▼ Lower Walk
110 BERGEPAINT 465.2 -0.29% 479.61 467.85 456.09
38.73%
5.03%
42.66 0 — Normal
111 JKCEMENT 4803.0 -1.84% 5035.45 4912.62 4789.8
5.37%
5.0%
44.64 0 ▼ Lower Walk
112 PETRONET 288.75 -0.14% 298.53 291.42 284.3
31.27%
4.88%
47.78 0 — Normal
113 MARICO 804.0 +0.14% 801.64 783.18 764.72
106.39%
4.71%
57.95 0 ● Overbought
114 INDUSTOWER 379.05 -1.29% 389.55 380.67 371.79
40.88%
4.67%
48.11 0 — Normal
115 CANFINHOME 719.25 -1.75% 742.28 725.68 709.07
30.65%
4.58%
50.86 0 — Normal
116 MGL 1046.9 -0.58% 1060.99 1041.33 1021.66
64.17%
3.78%
52.12 0 — 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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