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
0
Oversold
0
Squeeze ⚡
5
Upper Walk ▲
3
Lower Walk ▼
17
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 M&MFINTOP 361.0 +1.26% 371.81 336.27 300.74
84.79%
21.13%
63.22 1.32L ▲ Upper Walk
2 CANFINHOMETOP 816.05 +0.26% 955.79 878.81 801.82
9.24%
17.52%
24.82 10.4K ▼ Lower Walk
3 MANAPPURAMTOP 359.85 +1.96% 360.46 336.5 312.54
98.73%
14.24%
62.07 38.82L ▲ Upper Walk
4 HDFCAMCTOP 2552.4 +1.86% 2856.2 2670.16 2484.13
18.35%
13.93%
34.91 5.54L ▼ Lower Walk
5 SBICARDTOP 647.0 +4.57% 662.19 619.55 576.91
82.19%
13.76%
63.19 60.4K ▲ Upper Walk
6 LTFTOP 312.75 +3.42% 333.51 315.12 296.72
43.57%
11.68%
33.18 1.23L — Normal
7 MCXTOP 2752.8 +0.84% 2946.27 2799.53 2652.79
34.08%
10.48%
59.13 28.7K — Normal
8 MFSLTOP 1511.1 -0.29% 1655.29 1573.74 1492.18
11.6%
10.36%
32.49 5.57L ▼ Lower Walk
9 PFCTOP 420.1 +1.99% 431.13 413.43 395.72
68.85%
8.57%
56.43 44.48L — Normal
10 BAJFINANCETOP 1048.3 +3.51% 1070.91 1030.73 990.54
71.87%
7.8%
51.27 76.11L — Normal
11 CHOLAFIN 1785.2 +3.53% 1855.3 1786.06 1716.82
49.38%
7.75%
41.11 19.63L — Normal
12 MUTHOOTFIN 3025.9 +1.31% 3147.35 3032.3 2917.26
47.22%
7.59%
40.4 5.18L — Normal
13 RECLTD 368.15 +1.81% 372.44 358.83 345.22
84.24%
7.59%
63.34 94.01L ▲ Upper Walk
14 BAJAJFINSV 1919.4 +2.28% 1938.39 1869.4 1800.42
86.24%
7.38%
54.37 22.7K ▲ Upper Walk
15 SHRIRAMFIN 1038.2 +3.29% 1077.3 1040.99 1004.68
46.16%
6.98%
44.82 94.59L — Normal
16 ABCAPITAL 400.45 +1.68% 412.61 399.77 386.94
52.63%
6.42%
47.42 16.75L — Normal
17 LICHSGFIN 552.0 +2.42% 562.81 547.47 532.13
64.77%
5.6%
54.94 33.5K — 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

Join Telegram
Generate AI summary