Bollinger Band Scans

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

Live data
All 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)
⚡ 3 Squeezes detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
1
Overbought
0
Oversold
3
Squeeze ⚡
3
Upper Walk ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 JKCEMENTTOP 5507.0 +2.02% 5783.68 5531.9 5280.12
45.1%
9.1%
25.32 68.9K — Normal
2 INDIACEMTOP 411.6 +4.2% 403.42 387.57 371.73
125.8%
8.18%
82.95 3.56L ● Overbought
3 AMBUJACEMTOP 458.05 +0.89% 459.53 446.69 433.85
94.2%
5.75%
80.24 20.57L ▲ Upper Walk
4 SHREECEMTOP 25110.0 +0.44% 25220.55 24538.25 23855.95
91.9%
5.56%
95.29 34.7K ▲ Upper Walk
5 ULTRACEMCOTOP 11826.0 +0.56% 11876.85 11625.25 11373.65
89.9%
4.33%
75.7 3.09L ▲ Upper Walk
6 DALBHARATTOP 1974.7 +0.06% 1993.86 1961.48 1929.11
70.4%
3.3%
55.98 1.52L ⚡ Squeeze
7 ACCTOP 1442.8 +0.68% 1445.02 1421.71 1398.41
95.2%
3.28%
68.2 1.97L ⚡ Squeeze
8 RAMCOCEMTOP 1001.9 -0.21% 1008.43 996.1 983.76
73.5%
2.48%
85.91 1.18L ⚡ Squeeze

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

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