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)
1
Overbought
0
Oversold
0
Squeeze ⚡
8
Upper Walk ▲
0
Lower Walk ▼
18
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 LAURUSLABSTOP 2405.5 +7.2% 2274.42 2071.15 1867.89
132.24%
19.63%
77.6 79.13L ● Overbought
2 SYNGENETOP 401.65 +0.77% 410.83 374.97 339.11
87.2%
19.13%
66.49 0 ▲ Upper Walk
3 DRREDDYTOP 1345.0 +0.72% 1350.33 1247.2 1144.07
97.42%
16.54%
83.01 20.21L ▲ Upper Walk
4 BIOCONTOP 352.35 +0.13% 374.27 348.13 321.99
58.07%
15.02%
51.8 0 — Normal
5 ZYDUSLIFETOP 1184.4 +0.76% 1207.45 1145.79 1084.13
81.31%
10.76%
80.3 8.56L ▲ Upper Walk
6 APOLLOHOSPTOP 8200.0 +0.77% 8312.89 7897.4 7481.91
86.41%
10.52%
62.33 5.84L ▲ Upper Walk
7 LALPATHLABTOP 1908.7 -0.16% 2004.58 1907.05 1809.52
50.85%
10.23%
45.97 0 — Normal
8 DIVISLABTOP 9664.0 +1.1% 9773.15 9306.98 8840.8
88.29%
10.02%
61.95 3.95L ▲ Upper Walk
9 AUROPHARMATOP 1659.9 +0.92% 1730.44 1652.5 1574.57
54.74%
9.43%
48.36 4.11L — Normal
10 ALKEMTOP 5070.0 -0.18% 5361.14 5138.0 4914.86
34.76%
8.69%
36.79 0 — Normal
11 GLENMARK 2339.0 +1.7% 2355.52 2258.73 2161.94
91.47%
8.57%
50.8 2.32L ▲ Upper Walk
12 METROPOLIS 544.7 -1.65% 558.71 536.51 514.31
68.45%
8.28%
57.61 0 — Normal
13 LUPIN 1989.9 +0.87% 2035.68 1970.08 1904.49
65.1%
6.66%
59.68 7.81L — Normal
14 GRANULES 839.0 +0.2% 847.66 820.47 793.28
84.08%
6.63%
58.25 0 ▲ Upper Walk
15 TORNTPHARM 4647.9 +1.48% 4779.03 4626.35 4473.67
57.06%
6.6%
45.96 0 — Normal
16 ABBOTINDIA 25650.0 -1.89% 26716.51 25883.0 25049.49
36.02%
6.44%
45.71 0 — Normal
17 CIPLA 1358.0 -0.56% 1373.52 1333.89 1294.26
80.42%
5.94%
74.18 11.41L ▲ Upper Walk
18 SUNPHARMA 1761.0 +0.2% 1798.0 1763.35 1728.7
46.61%
3.93%
56.13 11.08L — 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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