Bollinger Band Scans

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

Live data
All Automobile & Ancillaries Banks Chemicals Construction Materials Finance FMCG Gases Capital Goods Healthcare Infrastructure Insurance Media Metals & Mining Other Power & Energy Real Estate Software & IT Telecom
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
3
Oversold
0
Squeeze ⚡
1
Upper Walk ▲
1
Lower Walk ▼
13
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 PIINDTOP 2775.0 -2.54% 3244.98 2985.53 2726.08
9.43%
17.38%
30.54 11.49L ▼ Lower Walk
2 GNFCTOP 503.75 -2.4% 542.56 503.54 464.52
50.27%
15.5%
52.27 0 — Normal
3 BERGEPAINTTOP 497.65 -5.56% 540.77 502.13 463.49
44.2%
15.39%
45.37 0 — Normal
4 COROMANDELTOP 1730.7 -5.51% 2028.54 1889.57 1750.6
-7.16%
14.71%
25.48 0 ● Oversold
5 TATACHEMTOP 755.1 -2.51% 821.98 770.45 718.92
35.11%
13.38%
43.1 0 — Normal
6 DEEPAKNTRTOP 1670.7 -2.57% 1903.32 1791.03 1678.73
-3.58%
12.54%
24.03 0 ● Oversold
7 CHAMBLFERTTOP 464.25 -2.91% 478.49 450.79 423.08
74.3%
12.29%
54.32 0 — Normal
8 AARTIINDTOP 472.05 -5.73% 511.2 482.04 452.89
32.86%
12.1%
45.59 0 — Normal
9 ASIANPAINTTOP 2671.9 +0.94% 2726.19 2579.47 2432.74
81.5%
11.38%
60.34 8.58L ▲ Upper Walk
10 PIDILITINDTOP 1482.8 +0.14% 1523.73 1448.59 1373.44
72.77%
10.37%
52.01 44.39L — Normal
11 NAVINFLUOR 7018.0 -3.13% 7380.4 7055.15 6729.9
44.29%
9.22%
53.29 0 — Normal
12 UPL 644.8 -1.73% 665.24 642.72 620.19
54.63%
7.01%
49.57 64.69L — Normal
13 ATUL 6760.0 -3.46% 7153.1 6982.05 6811.0
-14.91%
4.9%
40.61 0 ● Oversold

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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