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
1
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
2
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 KOTAKBANKTOP 417.7 +0.85% 436.69 411.96 387.23
61.61%
12.01%
64.89 1.42Cr — Normal
2 SBINTOP 996.2 -0.81% 1074.66 1032.96 991.26
5.92%
8.07%
31.85 74.23L ▼ Lower Walk
3 HDFCBANKTOP 708.6 +2.61% 738.28 713.96 689.64
38.98%
6.81%
40.76 2.94Cr — Normal
4 BANKBARODATOP 236.81 -0.04% 247.64 240.67 233.69
22.37%
5.8%
39.38 66.66L — Normal
5 ICICIBANKTOP 1382.1 +0.36% 1455.34 1417.08 1378.82
4.29%
5.4%
40.7 66.22L ▼ Lower Walk
6 AXISBANKTOP 1251.1 +0.41% 1284.72 1252.38 1220.03
48.03%
5.17%
54.23 43.37L — Normal
7 INDUSINDBKTOP 978.2 -1.19% 1026.06 1002.93 979.8
-3.46%
4.61%
37.36 24.80L ● Oversold
8 PNBTOP 117.35 +0.61% 118.11 116.31 114.5
78.95%
3.1%
56.55 1.09Cr — 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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