Bollinger Band Scans

Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.

Live data
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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
0
Oversold
0
Squeeze ⚡
3
Upper Walk ▲
3
Lower Walk ▼
18
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 DRREDDYTOP 1150.8 -0.08% 1421.92 1272.67 1123.43
9.17%
23.45%
8.96 10.53L ▼ Lower Walk
2 DIVISLABTOP 7414.0 +2.28% 7571.59 6985.3 6399.01
86.56%
16.79%
69.38 5.45L ▲ Upper Walk
3 ABBOTINDIATOP 27820.0 -0.66% 29405.85 27140.0 24874.15
65.01%
16.7%
63.75 230 — Normal
4 GRANULESTOP 842.85 +1.12% 922.64 859.74 796.83
36.58%
14.63%
42.17 25.2K — Normal
5 BIOCONTOP 436.25 +0.6% 450.62 424.59 398.56
72.4%
12.26%
54.41 25.70L — Normal
6 TORNTPHARMTOP 5019.5 +1.17% 5158.47 4874.64 4590.82
75.52%
11.64%
57.97 2.68L — Normal
7 SYNGENETOP 413.0 +1.56% 443.27 421.49 399.7
30.53%
10.34%
26.54 35.0K — Normal
8 METROPOLISTOP 582.0 +2.06% 587.72 559.63 531.54
89.82%
10.04%
48.85 6.2K ▲ Upper Walk
9 LAURUSLABSTOP 1713.4 +7.01% 1608.87 1538.13 1467.4
173.89%
9.2%
61.61 79.89L ● Overbought
10 LALPATHLABTOP 1820.0 +3.46% 1759.25 1688.09 1616.93
142.69%
8.43%
62.31 20.1K ● Overbought
11 GLENMARK 2196.0 +0.18% 2323.6 2238.71 2153.82
24.84%
7.58%
35.13 5.93L — Normal
12 LUPIN 2410.0 +1.67% 2543.83 2455.37 2366.9
24.36%
7.21%
35.43 11.79L — Normal
13 SUNPHARMA 1973.7 +1.68% 1984.78 1920.62 1856.47
91.36%
6.68%
56.63 54.14L ▲ Upper Walk
14 ZYDUSLIFE 1108.2 -0.05% 1171.23 1135.12 1099.02
12.71%
6.36%
35.29 6.07L ▼ Lower Walk
15 AUROPHARMA 1549.4 +1.14% 1607.49 1560.5 1513.5
38.2%
6.02%
36.93 8.50L — Normal
16 CIPLA 1409.4 -0.09% 1477.06 1438.54 1400.02
12.18%
5.36%
33.28 11.62L ▼ Lower Walk
17 ALKEM 5615.0 -0.33% 5735.16 5603.1 5471.04
54.51%
4.71%
52.06 4.3K — Normal
18 APOLLOHOSP 8843.5 +0.43% 9012.52 8823.92 8635.33
55.19%
4.27%
44.77 1.35L — Normal

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.

  • Upper Band: 20-day SMA + (20-day standard deviation of price × 2)
  • Middle Band: 20-day Simple Moving Average (SMA)
  • Lower Band: 20-day SMA − (20-day standard deviation of price × 2)

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

  • Price near Lower Band: Potential buying opportunity if the band holds; breakdown signal if price breaks below.
  • Price near Upper Band: Potential selling opportunity if the band holds; breakout signal if price breaks above.
  • Bollinger Squeeze: Bands narrow — anticipate a high-momentum breakout or breakdown.
  • Upper Band Walk: Price consistently touches the upper band — strong uptrend in progress.
  • Lower Band Walk: Price consistently touches the lower band — strong downtrend in progress.
  • %B above 1.0: Price is above the upper band — overbought; watch for reversal.
  • %B below 0.0: Price is below the lower band — oversold; watch for bounce.

Bollinger Band Formulas

  • Upper Band = 20-day SMA + (20-day std dev × 2)
  • Middle Band = 20-day SMA
  • Lower Band = 20-day SMA − (20-day std dev × 2)
  • %B = (Price − Lower Band) / (Upper Band − Lower Band)
  • Bandwidth = (Upper Band − Lower Band) / Middle Band

Related Tools

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

Related Tools

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