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
3
Oversold
0
Squeeze ⚡
2
Upper Walk ▲
13
Lower Walk ▼
40
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ICICIPRULITOP 483.25 +1.29% 570.51 517.78 465.06
17.25%
20.37%
27.01 16.29L ▼ Lower Walk
2 ONGCTOP 264.75 -1.05% 310.6 283.56 256.53
15.2%
19.07%
15.54 74.93L ▼ Lower Walk
3 ITCTOP 280.7 +0.14% 321.3 297.91 274.52
13.21%
15.7%
21.56 1.61Cr ▼ Lower Walk
4 TATACMPVTOP 368.9 -1.26% 411.97 383.87 355.76
23.38%
14.64%
41.74 1.98L — Normal
5 WIPROTOP 198.37 -2.91% 211.84 198.85 185.86
48.15%
13.07%
59.9 4.35Cr — Normal
6 INFYTOP 1197.5 -0.32% 1250.21 1173.7 1097.2
65.55%
13.04%
63.12 86.92L — Normal
7 HINDUNILVRTOP 2121.5 +2.02% 2338.43 2197.57 2056.71
23.0%
12.82%
27.08 18.23L — Normal
8 GRASIMTOP 3087.7 -0.51% 3238.36 3047.79 2857.22
60.47%
12.51%
71.33 6.97L — Normal
9 POWERGRIDTOP 285.65 +0.37% 314.16 296.57 278.98
18.96%
11.86%
30.61 69.55L ▼ Lower Walk
10 NTPCTOP 361.65 -1.3% 408.79 386.16 363.52
-4.13%
11.72%
22.73 1.03Cr ● Oversold
11 CIPLA 1401.3 +0.19% 1467.68 1388.63 1309.58
58.01%
11.39%
37.76 10.50L — Normal
12 BHARTIARTL 1798.2 -1.14% 1944.86 1845.57 1746.27
26.15%
10.76%
25.3 39.27L — Normal
13 HDFCLIFE 575.3 +0.27% 634.78 602.74 570.7
7.18%
10.63%
28.37 38.83L ▼ Lower Walk
14 TCS 2198.9 -1.88% 2415.68 2300.3 2184.92
6.06%
10.03%
44.43 50.20L ▼ Lower Walk
15 TITAN 4260.2 +0.69% 4347.93 4143.32 3938.72
78.56%
9.88%
57.43 13.90L — Normal
16 BAJFINANCE 889.4 +1.72% 954.7 911.47 868.25
24.47%
9.48%
42.87 1.33Cr — Normal
17 RELIANCE 1291.0 -0.97% 1408.79 1345.21 1281.64
7.36%
9.45%
35.28 1.78Cr ▼ Lower Walk
18 ULTRACEMCO 10912.0 -0.77% 12006.2 11469.6 10933.0
-1.96%
9.36%
31.7 4.25L ● Oversold
19 BPCL 295.0 -0.05% 309.03 295.31 281.59
48.87%
9.29%
59.23 55.29L — Normal
20 BRITANNIA 5120.5 +0.6% 5542.65 5296.95 5051.25
14.09%
9.28%
21.02 1.59L ▼ Lower Walk
21 HCLTECH 1154.7 -1.16% 1221.27 1169.2 1117.14
36.07%
8.91%
54.64 19.71L — Normal
22 NESTLEIND 1386.2 +0.24% 1487.83 1427.35 1366.87
15.98%
8.47%
33.0 13.42L ▼ Lower Walk
23 SUNPHARMA 1782.2 +0.12% 1916.7 1839.95 1763.19
12.38%
8.34%
24.03 24.95L ▼ Lower Walk
24 SBILIFE 1782.8 +1.01% 1921.33 1846.08 1770.82
7.96%
8.15%
33.22 7.15L ▼ Lower Walk
25 DRREDDY 1278.2 +0.84% 1351.44 1300.93 1250.42
27.5%
7.77%
29.79 7.75L — Normal
26 BAJAJFINSV 1703.2 -0.39% 1824.9 1759.8 1694.71
6.52%
7.4%
44.95 14.14L ▼ Lower Walk
27 DIVISLAB 6623.0 +0.4% 6981.28 6739.4 6497.52
25.94%
7.18%
41.04 2.01L — Normal
28 ADANIPORTS 1824.2 +1.86% 1846.28 1784.28 1722.28
82.19%
6.95%
56.17 16.41L ▲ Upper Walk
29 SBIN 977.7 -0.16% 999.63 966.42 933.21
66.98%
6.87%
57.28 2.10Cr — Normal
30 AXISBANK 1272.3 +1.52% 1308.39 1266.47 1224.56
56.95%
6.62%
57.86 78.25L — Normal
31 UPL 637.45 -0.27% 662.27 641.31 620.35
40.79%
6.54%
53.61 25.56L — Normal
32 ASIANPAINT 2686.7 +0.94% 2709.61 2626.05 2542.48
86.29%
6.36%
68.94 16.15L ▲ Upper Walk
33 HDFCBANK 747.05 -0.95% 784.78 760.65 736.51
21.84%
6.35%
39.89 2.21Cr — Normal
34 GODREJCP 998.0 +0.26% 1051.98 1020.23 988.47
15.01%
6.23%
36.23 6.45L ▼ Lower Walk
35 SHREECEM 24085.0 -1.63% 25626.47 24890.5 24154.53
-4.72%
5.91%
36.15 22.3K ● Oversold
36 MARUTI 13050.0 -0.11% 13514.95 13137.35 12759.75
38.43%
5.75%
43.26 2.96L — Normal
37 LT 3953.2 +0.28% 4070.66 3959.82 3848.98
47.01%
5.6%
56.55 12.78L — Normal
38 ICICIBANK 1262.1 +0.83% 1285.05 1252.8 1220.55
64.42%
5.15%
55.01 1.02Cr — Normal
39 KOTAKBANK 377.45 -1.06% 392.24 382.93 373.61
20.61%
4.87%
41.09 1.01Cr — Normal
40 JSWSTEEL 1284.0 -1.31% 1317.5 1287.49 1257.48
44.19%
4.66%
51.75 16.18L — 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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