Bollinger Band Scans

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

Live data
All Automobile & Ancillaries Banks Capital Goods Chemicals Construction Materials FMCG Finance Gases Healthcare Infrastructure Insurance Media Metals & Mining Other Power & Energy Real Estate Software & IT Telecom bank_nifty nifty_50 nifty_energy nifty_fmcg nifty_infra nifty_it nifty_metal nifty_pharma others
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)
11
Overbought
0
Oversold
0
Squeeze ⚡
3
Upper Walk ▲
0
Lower Walk ▼
17
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 M&MFINTOP 288.5 +2.94% 325.92 284.82 243.72
54.48%
28.86%
40.32 49.7K — Normal
2 MUTHOOTFINTOP 2932.9 +0.52% 2919.82 2579.15 2238.49
101.92%
26.42%
73.87 10.4K ● Overbought
3 CHOLAFINTOP 1862.0 +3.98% 1809.32 1605.6 1401.88
112.93%
25.38%
76.42 53.4K ● Overbought
4 SHRIRAMFINTOP 1003.8 +4.02% 1011.43 903.58 795.73
96.46%
23.87%
61.26 1.03L ▲ Upper Walk
5 BAJFINANCETOP 1115.0 +4.71% 1085.53 974.76 863.99
113.3%
22.73%
78.35 3.59L ● Overbought
6 HDFCAMCTOP 2730.0 +4.21% 2668.61 2397.62 2126.64
111.33%
22.6%
80.47 79.5K ● Overbought
7 MANAPPURAMTOP 319.95 -1.17% 339.38 308.84 278.3
68.19%
19.78%
62.58 27.8K — Normal
8 LTFTOP 282.39 +3.18% 280.82 255.81 230.8
103.14%
19.55%
69.83 25.7K ● Overbought
9 MCXTOP 3624.7 +2.25% 3573.15 3264.57 2956.0
108.35%
18.9%
70.52 17.4K ● Overbought
10 ABCAPITALTOP 419.5 +4.44% 406.96 374.64 342.33
119.4%
17.25%
71.7 42.6K ● Overbought
11 BAJAJFINSV 1887.1 +2.73% 1861.99 1727.75 1593.52
109.35%
15.54%
72.78 35.0K ● Overbought
12 LICHSGFIN 579.0 +4.91% 557.46 518.04 478.62
127.32%
15.22%
70.71 13.9K ● Overbought
13 SBICARD 590.0 -0.03% 598.63 556.97 515.31
89.64%
14.96%
61.13 8.1K ▲ Upper Walk
14 MFSL 1375.0 +9.34% 1325.87 1248.17 1170.47
131.62%
12.45%
50.46 18.8K ● Overbought
15 PFC 339.0 +0.21% 345.89 326.82 307.75
81.93%
11.67%
58.79 1.60L ▲ Upper Walk
16 RECLTD 304.6 -0.18% 314.02 297.29 280.57
71.84%
11.25%
51.92 81.2K — Normal
17 CANFINHOME 795.4 +5.02% 759.75 732.91 706.08
166.42%
7.32%
64.56 5.0K ● Overbought

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

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