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 ⚡
2
Upper Walk ▲
1
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 RAMCOCEMTOP 729.7 -0.27% 871.48 792.37 713.25
10.4%
19.97%
19.98 1.52L ▼ Lower Walk
2 DALBHARATTOP 1407.9 -4.51% 1751.53 1611.76 1471.99
-22.93%
17.34%
32.49 12.71L ● Oversold
3 INDIACEMTOP 300.25 -0.87% 324.39 303.43 282.47
42.41%
13.82%
52.89 2.67L — Normal
4 SHREECEMTOP 23030.0 +0.04% 23390.18 22379.75 21369.32
82.18%
9.03%
72.22 0 ▲ Upper Walk
5 AMBUJACEMTOP 354.7 +1.0% 372.72 356.9 341.07
43.06%
8.87%
59.36 1.23Cr — Normal
6 ACCTOP 1153.5 +1.17% 1204.0 1159.25 1114.49
43.58%
7.72%
55.94 1.42L — Normal
7 ULTRACEMCOTOP 11190.0 +0.77% 11266.86 10848.75 10430.64
90.81%
7.71%
71.71 0 ▲ Upper Walk
8 JKCEMENTTOP 4893.0 -1.87% 5055.01 4927.15 4799.29
36.65%
5.19%
45.47 11.0K — 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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