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)
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Overbought
0
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
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Lower Walk ▼
8
Total Scanned
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# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ICICIBANKTOP 1590.0 +0.06% 1564.36 1422.86 1281.36
109.06%
19.89%
84.25 8.65L ● Overbought
2 HDFCBANKTOP 812.3 +1.77% 791.1 720.43 649.76
115.0%
19.62%
79.04 16.31L ● Overbought
3 BANKBARODATOP 276.15 +6.21% 256.05 239.46 222.86
160.56%
13.86%
71.86 2.40L ● Overbought
4 KOTAKBANKTOP 490.4 +2.27% 483.35 452.66 421.97
111.49%
13.56%
75.97 7.84L ● Overbought
5 PNBTOP 141.79 +7.28% 129.61 121.99 114.36
179.87%
12.5%
70.04 9.73L ● Overbought
6 AXISBANKTOP 1342.9 +2.46% 1325.92 1248.81 1171.7
111.01%
12.35%
76.91 2.59L ● Overbought
7 INDUSINDBKTOP 931.35 +4.06% 914.37 865.95 817.52
117.53%
11.18%
61.85 37.6K ● Overbought
8 SBINTOP 1086.5 +4.27% 1025.52 975.77 926.02
161.29%
10.2%
70.59 2.97L ● Overbought

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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