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
0
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
3
Lower Walk ▼
17
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 MCXTOP 2923.5 -7.44% 3530.95 3185.57 2840.18
12.06%
21.68%
43.28 0 ▼ Lower Walk
2 CHOLAFINTOP 1537.7 -2.63% 1704.22 1584.29 1464.35
30.58%
15.14%
31.88 22.66L — Normal
3 M&MFINTOP 304.0 -0.39% 338.76 315.52 292.29
25.2%
14.73%
20.48 0 — Normal
4 LTFTOP 281.7 -0.35% 303.27 284.27 265.27
43.24%
13.37%
34.67 19.09L — Normal
5 MANAPPURAMTOP 325.25 -1.06% 334.24 313.64 293.04
78.18%
13.14%
56.29 0 — Normal
6 LICHSGFINTOP 532.15 -4.37% 592.38 557.79 523.21
12.92%
12.4%
32.37 0 ▼ Lower Walk
7 SHRIRAMFINTOP 947.15 -1.67% 1009.86 952.72 895.57
45.13%
12.0%
35.69 1.12Cr — Normal
8 MUTHOOTFINTOP 3352.1 +1.37% 3594.57 3397.72 3200.88
38.41%
11.59%
38.57 0 — Normal
9 MFSLTOP 1674.5 -0.46% 1739.66 1649.53 1559.41
63.85%
10.93%
46.25 0 — Normal
10 RECLTDTOP 337.3 -0.71% 363.78 345.39 327.0
28.0%
10.65%
29.62 0 — Normal
11 CANFINHOME 834.0 +0.13% 898.23 853.58 808.92
28.08%
10.46%
30.01 0 — Normal
12 PFC 428.6 -1.13% 465.36 442.79 420.21
18.58%
10.2%
28.97 1.63Cr ▼ Lower Walk
13 BAJFINANCE 931.15 +0.1% 976.29 930.85 885.42
50.32%
9.76%
36.6 53.50L — Normal
14 ABCAPITAL 363.3 -0.44% 372.4 355.74 339.07
72.7%
9.37%
50.25 55.70L — Normal
15 HDFCAMC 2662.3 -1.99% 2853.56 2726.18 2598.79
24.93%
9.35%
34.7 0 — Normal
16 BAJAJFINSV 1783.6 -1.41% 1840.41 1776.06 1711.71
55.86%
7.25%
43.78 14.46L — Normal
17 SBICARD 624.4 -0.14% 652.82 632.85 612.89
28.83%
6.31%
32.62 47.45L — 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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