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 ⚡
0
Upper Walk ▲
6
Lower Walk ▼
17
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 MCXTOP 2795.0 -3.4% 3574.85 3159.99 2745.14
6.01%
26.26%
19.91 47.09L ▼ Lower Walk
2 M&MFINTOP 289.85 +0.28% 339.0 309.68 280.35
16.2%
18.94%
22.2 27.60L ▼ Lower Walk
3 HDFCAMCTOP 2495.9 -1.07% 2843.33 2665.88 2488.42
2.11%
13.31%
29.22 11.00L ▼ Lower Walk
4 LTFTOP 268.6 +0.71% 296.61 278.54 260.47
22.5%
12.97%
38.19 77.90L — Normal
5 CHOLAFINTOP 1503.2 +1.16% 1642.54 1543.01 1443.49
30.0%
12.9%
43.29 24.58L — Normal
6 MUTHOOTFINTOP 3153.1 -0.52% 3532.73 3326.39 3120.06
8.01%
12.41%
32.86 5.53L ▼ Lower Walk
7 LICHSGFINTOP 549.75 +0.77% 583.4 551.34 519.27
47.53%
11.63%
51.68 29.84L — Normal
8 MFSLTOP 1604.2 +1.44% 1735.37 1640.35 1545.33
30.98%
11.59%
50.03 3.11L — Normal
9 MANAPPURAMTOP 308.2 -0.87% 333.04 315.02 297.01
31.06%
11.44%
50.79 23.65L — Normal
10 PFCTOP 431.75 +1.72% 457.67 434.39 411.1
44.34%
10.72%
40.67 1.08Cr — Normal
11 SHRIRAMFIN 923.3 +0.82% 985.61 937.76 889.91
34.89%
10.21%
45.27 57.69L — Normal
12 RECLTD 343.9 +2.6% 355.99 339.3 322.6
63.79%
9.84%
48.46 1.10Cr — Normal
13 SBICARD 589.6 +0.02% 650.72 621.1 591.48
-3.17%
9.54%
18.57 8.50L ● Oversold
14 BAJFINANCE 889.4 +1.72% 954.7 911.47 868.25
24.47%
9.48%
42.87 1.33Cr — Normal
15 ABCAPITAL 357.5 +1.09% 367.42 354.3 341.17
62.21%
7.41%
50.31 37.75L — Normal
16 BAJAJFINSV 1703.2 -0.39% 1824.9 1759.8 1694.71
6.52%
7.4%
44.95 14.14L ▼ Lower Walk
17 CANFINHOME 807.9 -1.05% 867.96 837.73 807.5
0.66%
7.22%
26.08 1.62L ▼ Lower Walk

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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