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)
⚡ 8 Squeezes detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
2
Overbought
0
Oversold
8
Squeeze ⚡
4
Upper Walk ▲
0
Lower Walk ▼
17
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 MCXTOP 2862.2 +0.31% 2917.18 2761.93 2606.67
82.3%
11.24%
98.88 34.32L ▲ Upper Walk
2 HDFCAMCTOP 2662.2 -0.06% 2712.05 2607.77 2503.49
76.1%
8.0%
60.75 29.50L — Normal
3 CHOLAFINTOP 1569.9 +1.24% 1605.56 1546.73 1487.9
69.7%
7.61%
46.01 27.68L — Normal
4 MFSLTOP 1695.2 -0.28% 1718.48 1665.37 1612.25
78.1%
6.38%
80.24 8.65L ⚡ Squeeze
5 PFCTOP 458.9 +3.29% 452.27 438.29 424.3
123.7%
6.38%
93.48 2.31Cr ● Overbought
6 BAJFINANCETOP 905.9 -0.8% 931.87 911.46 891.05
36.4%
4.48%
30.26 1.18Cr ⚡ Squeeze
7 RECLTDTOP 364.2 +3.39% 358.16 350.37 342.57
138.7%
4.45%
84.62 2.18Cr ● Overbought
8 SHRIRAMFINTOP 1022.75 +0.27% 1037.72 1016.68 995.65
64.4%
4.14%
44.56 57.16L ⚡ Squeeze
9 LTFTOP 280.41 +0.0% 283.87 278.12 272.37
69.9%
4.13%
57.47 54.25L — Normal
10 BAJAJFINSVTOP 1829.9 +0.12% 1842.72 1806.97 1771.21
82.1%
3.96%
66.56 10.35L ⚡ Squeeze
11 LICHSGFIN 534.85 +0.88% 537.96 527.84 517.72
84.6%
3.83%
56.2 15.09L ▲ Upper Walk
12 ABCAPITAL 337.95 -1.67% 346.39 340.54 334.69
27.9%
3.44%
38.07 40.49L ⚡ Squeeze
13 SBICARD 685.6 +0.23% 689.25 677.62 665.98
84.3%
3.43%
68.49 7.92L ▲ Upper Walk
14 CANFINHOME 858.8 +0.02% 862.18 847.87 833.57
88.2%
3.37%
100.0 4.78L ▲ Upper Walk
15 MUTHOOTFIN 3548.0 -1.42% 3623.1 3566.98 3510.86
33.1%
3.15%
44.11 7.35L ⚡ Squeeze
16 M&MFIN 297.3 -0.9% 303.81 299.34 294.87
27.2%
2.99%
28.38 26.60L ⚡ Squeeze
17 MANAPPURAM 268.15 -0.13% 270.3 267.5 264.71
61.5%
2.09%
56.32 27.44L ⚡ 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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