Bollinger Band Scans

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

Live data
All all others nifty_50 bank_nifty nifty_it nifty_pharma nifty_fmcg nifty_metal nifty_energy nifty_infra 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
1
Oversold
0
Squeeze ⚡
2
Upper Walk ▲
1
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 INDUSINDBKTOP 1006.65 +1.06% 1079.72 999.23 918.73
54.61%
16.11%
46.94 19.79L — Normal
2 BANKBARODATOP 244.0 -0.99% 270.92 252.07 233.23
28.58%
14.95%
46.54 1.47Cr — Normal
3 AXISBANKTOP 1227.5 +0.02% 1396.52 1308.78 1221.04
3.68%
13.41%
24.72 59.67L ▼ Lower Walk
4 HDFCBANKTOP 739.55 -0.44% 850.77 797.74 744.71
-4.87%
13.3%
21.19 2.97Cr ● Oversold
5 PNBTOP 111.62 +1.12% 112.48 106.72 100.97
92.53%
10.78%
65.01 1.28Cr ▲ Upper Walk
6 KOTAKBANKTOP 384.65 -0.03% 401.06 384.91 368.76
49.2%
8.39%
52.57 1.67Cr — Normal
7 ICICIBANKTOP 1445.7 +0.89% 1465.59 1414.28 1362.96
80.62%
7.26%
51.85 1.06Cr ▲ Upper Walk
8 SBINTOP 1020.6 +0.55% 1058.73 1033.39 1008.05
24.76%
4.9%
42.8 60.91L — 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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