Bollinger Band Scans

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

Live data
All Automobile & Ancillaries Banks Capital Goods Chemicals Construction Materials FMCG Finance Gases Healthcare Infrastructure Insurance Media Metals & Mining Other Power & Energy Real Estate Software & IT Telecom bank_nifty nifty_50 nifty_energy nifty_fmcg nifty_infra nifty_it nifty_metal nifty_pharma others
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
0
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
8
Lower Walk ▼
10
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 MARUTITOP 12432.0 -1.33% 14139.59 13204.85 12270.11
8.66%
14.16%
16.89 5.01L ▼ Lower Walk
2 BRITANNIATOP 5009.0 +0.09% 5591.38 5251.23 4911.07
14.39%
12.96%
23.51 1.83L ▼ Lower Walk
3 GODREJCPTOP 865.35 -0.32% 960.13 904.07 848.01
15.47%
12.4%
13.37 7.50L ▼ Lower Walk
4 UBLTOP 1255.0 +0.11% 1391.63 1313.88 1236.14
12.13%
11.83%
22.06 4.07L ▼ Lower Walk
5 DABURTOP 376.0 -0.12% 409.02 387.43 365.83
23.55%
11.15%
23.31 7.65L — Normal
6 ASIANPAINTTOP 2467.7 -0.57% 2717.3 2580.26 2443.22
8.93%
10.62%
22.52 6.10L ▼ Lower Walk
7 NESTLEINDTOP 1381.5 +0.28% 1508.58 1438.8 1369.01
8.95%
9.7%
28.7 11.40L ▼ Lower Walk
8 COLPALTOP 1797.0 -0.21% 1942.5 1858.13 1773.76
13.77%
9.08%
33.0 2.73L ▼ Lower Walk
9 HINDUNILVRTOP 1934.9 -0.15% 2063.31 1993.93 1924.55
7.46%
6.96%
27.94 10.00L ▼ Lower Walk
10 ITCTOP 261.45 +0.83% 275.12 266.08 257.04
24.39%
6.8%
39.78 1.07Cr — 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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