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)
0
Overbought
2
Oversold
0
Squeeze ⚡
1
Upper Walk ▲
1
Lower Walk ▼
10
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 BRITANNIATOP 5335.5 -0.05% 5858.32 5467.0 5075.68
33.2%
14.32%
21.5 1.95L — Normal
2 UBLTOP 1316.9 -1.71% 1475.59 1381.1 1286.61
16.03%
13.68%
21.29 0 ▼ Lower Walk
3 ASIANPAINTTOP 2671.9 +0.94% 2726.19 2579.47 2432.74
81.5%
11.38%
60.34 8.58L ▲ Upper Walk
4 DABURTOP 443.4 -0.46% 482.31 457.77 433.24
20.71%
10.72%
14.67 1.31Cr — Normal
5 GODREJCPTOP 1029.3 -1.45% 1088.64 1039.41 990.19
39.73%
9.47%
45.78 37.21L — Normal
6 ITCTOP 286.9 -1.73% 318.67 305.64 292.62
-21.96%
8.52%
27.29 3.19Cr ● Oversold
7 HINDUNILVRTOP 2198.4 -0.5% 2343.54 2247.94 2152.34
24.09%
8.51%
28.06 6.17L — Normal
8 MARUTITOP 13092.0 -2.04% 13788.0 13271.65 12755.3
32.6%
7.78%
32.92 0 — Normal
9 COLPALTOP 2054.5 -1.58% 2219.4 2142.14 2064.89
-6.72%
7.21%
27.23 0 ● Oversold
10 NESTLEINDTOP 1427.5 -0.08% 1499.14 1447.58 1396.01
30.53%
7.12%
26.04 11.14L — 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

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