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
10
Oversold
0
Squeeze ⚡
12
Upper Walk ▲
16
Lower Walk ▼
116
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
101 NMDC 87.99 -4.65% 92.87 89.52 86.17
27.16%
7.48%
48.23 5.07Cr — Normal
102 AMBUJACEM 447.85 -2.59% 456.81 440.39 423.97
72.72%
7.46%
51.92 38.05L — Normal
103 ACC 1391.1 -2.49% 1433.26 1382.89 1332.52
58.15%
7.28%
51.79 0 — Normal
104 BAJAJFINSV 1783.6 -1.41% 1840.41 1776.06 1711.71
55.86%
7.25%
43.78 14.46L — Normal
105 IDFCFIRSTB 71.32 -0.22% 71.63 69.19 66.76
93.63%
7.04%
50.26 11.61Cr ▲ Upper Walk
106 UNITDSPR 1270.0 -2.5% 1333.49 1289.35 1245.2
28.09%
6.85%
47.51 21.65L — Normal
107 ICICIGI 1792.2 -3.16% 1875.37 1814.5 1753.62
31.69%
6.71%
44.73 29.17L — Normal
108 BALRAMCHIN 511.9 -3.45% 549.88 532.06 514.24
-6.57%
6.7%
45.88 0 ● Oversold
109 FEDERALBNK 288.95 +0.02% 297.79 288.18 278.56
54.03%
6.67%
39.88 23.94Cr — Normal
110 INDIACEM 376.75 -5.95% 412.65 399.48 386.31
-36.29%
6.59%
32.76 0 ● Oversold
111 INDHOTEL 654.4 -1.99% 675.86 654.32 632.78
50.19%
6.58%
42.89 0 — Normal
112 COALINDIA 457.9 -1.11% 478.01 463.24 448.47
31.92%
6.38%
51.49 9.79Cr — Normal
113 SBICARD 624.4 -0.14% 652.82 632.85 612.89
28.83%
6.31%
32.62 47.45L — Normal
114 MRF 122050.0 -3.93% 131294.75 127851.25 124407.75
-34.23%
5.39%
30.83 0 ● Oversold
115 ALKEM 5498.0 +0.85% 5621.71 5476.4 5331.09
57.43%
5.31%
43.87 14.05L — Normal
116 ATUL 6760.0 -3.46% 7153.1 6982.05 6811.0
-14.91%
4.9%
40.61 0 ● Oversold
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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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