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)
0
Overbought
1
Oversold
0
Squeeze ⚡
3
Upper Walk ▲
1
Lower Walk ▼
18
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 BIOCONTOP 426.25 -1.38% 461.31 408.33 355.35
66.91%
25.95%
81.64 0 — Normal
2 LAURUSLABSTOP 1361.4 -1.47% 1448.55 1285.0 1121.45
73.36%
25.46%
82.09 0 — Normal
3 ZYDUSLIFETOP 1077.7 -0.75% 1114.99 989.88 864.78
85.1%
25.28%
76.84 45.88L ▲ Upper Walk
4 LALPATHLABTOP 1601.3 -0.98% 1738.9 1603.5 1468.09
49.19%
16.89%
44.02 0 — Normal
5 METROPOLISTOP 554.3 +3.39% 568.88 525.05 481.21
83.37%
16.7%
52.09 0 ▲ Upper Walk
6 CIPLATOP 1418.2 +0.05% 1467.48 1376.64 1285.8
72.88%
13.2%
59.73 9.37L — Normal
7 ABBOTINDIATOP 26700.0 -3.73% 28798.99 27095.25 25391.51
38.4%
12.58%
51.51 0 — Normal
8 GRANULESTOP 771.1 -1.47% 787.66 743.79 699.93
81.12%
11.79%
57.14 0 ▲ Upper Walk
9 AUROPHARMATOP 1426.4 -0.66% 1558.42 1472.88 1387.35
22.83%
11.61%
35.96 24.35L — Normal
10 LUPINTOP 2267.7 -0.38% 2425.2 2301.0 2176.8
36.59%
10.8%
33.29 29.38L — Normal
11 APOLLOHOSP 8176.5 -1.16% 8474.31 8052.93 7631.54
64.66%
10.47%
54.21 10.42L — Normal
12 TORNTPHARM 4361.7 -3.88% 4591.48 4401.49 4211.51
39.53%
8.63%
51.42 0 — Normal
13 SYNGENE 436.95 -5.09% 483.56 464.21 444.87
-20.47%
8.33%
43.51 0 ● Oversold
14 GLENMARK 2290.2 -3.97% 2447.25 2350.36 2253.46
18.96%
8.25%
43.45 0 ▼ Lower Walk
15 DRREDDY 1301.2 -1.35% 1351.47 1307.26 1263.04
43.15%
6.76%
52.53 0 — Normal
16 DIVISLAB 6630.5 -2.46% 6969.36 6754.15 6538.94
21.27%
6.37%
47.94 0 — Normal
17 SUNPHARMA 1844.3 +0.19% 1905.22 1849.95 1794.67
44.89%
5.98%
41.59 13.86L — Normal
18 ALKEM 5498.0 +0.85% 5621.71 5476.4 5331.09
57.43%
5.31%
43.87 14.05L — 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

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