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 ⚡
3
Upper Walk ▲
7
Lower Walk ▼
40
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 DRREDDYTOP 1151.7 -1.25% 1424.61 1282.62 1140.62
3.9%
22.14%
9.25 47.51L ▼ Lower Walk
2 HCLTECHTOP 1271.0 +2.11% 1275.87 1158.93 1042.0
97.92%
20.18%
69.3 36.75L ▲ Upper Walk
3 DIVISLABTOP 7248.5 -0.77% 7543.18 6958.55 6373.92
74.8%
16.8%
76.02 3.29L — Normal
4 TCSTOP 2254.3 +0.51% 2299.19 2133.13 1967.08
86.48%
15.57%
66.29 32.12L ▲ Upper Walk
5 LTTOP 3785.6 -0.18% 4214.59 3945.34 3676.09
20.34%
13.65%
27.68 19.94L — Normal
6 AXISBANKTOP 1227.3 +0.35% 1400.43 1316.28 1232.12
-2.86%
12.79%
22.97 80.89L ● Oversold
7 HDFCBANKTOP 742.8 -0.6% 847.11 800.42 753.72
-11.69%
11.67%
34.66 2.38Cr ● Oversold
8 INFYTOP 1040.9 -0.62% 1117.09 1058.23 999.37
35.28%
11.12%
50.05 2.90Cr — Normal
9 UPLTOP 602.45 -0.75% 628.92 596.19 563.46
59.56%
10.98%
49.84 6.23L — Normal
10 TITANTOP 4677.0 -0.43% 4789.65 4544.4 4299.15
77.03%
10.79%
78.31 5.14L — Normal
11 MARUTI 13442.0 +0.29% 14593.6 13866.0 13138.4
20.86%
10.49%
29.54 2.23L — Normal
12 ONGC 248.76 -1.43% 256.21 243.84 231.48
69.87%
10.14%
78.46 76.46L — Normal
13 KOTAKBANK 384.75 +0.37% 405.38 386.12 366.86
46.44%
9.98%
41.74 1.33Cr — Normal
14 BAJAJFINSV 1876.7 -0.67% 1947.12 1856.12 1765.11
61.31%
9.81%
48.99 14.12L — Normal
15 BAJFINANCE 1012.8 -2.6% 1074.5 1025.8 977.09
36.66%
9.5%
52.32 1.84Cr — Normal
16 ICICIPRULI 500.55 -0.19% 520.33 497.57 474.81
56.55%
9.15%
56.68 7.11L — Normal
17 GODREJCP 1059.5 +0.09% 1109.26 1063.6 1017.94
45.51%
8.59%
44.27 4.13L — Normal
18 TATACMPV 407.05 +0.39% 438.96 420.96 402.96
11.36%
8.55%
30.5 75.7K ▼ Lower Walk
19 SHREECEM 26740.0 -0.32% 27498.32 26398.75 25299.18
65.52%
8.33%
50.65 13.4K — Normal
20 SBILIFE 1858.6 +0.28% 1881.89 1812.52 1743.14
83.21%
7.66%
59.55 10.34L ▲ Upper Walk
21 BRITANNIA 5379.5 -0.16% 5550.83 5346.4 5141.97
58.1%
7.65%
50.69 2.08L — Normal
22 ICICIBANK 1432.9 -0.12% 1463.84 1412.0 1360.17
70.16%
7.34%
56.58 1.09Cr — Normal
23 ULTRACEMCO 11846.0 -0.52% 12069.6 11643.3 11217.0
73.77%
7.32%
54.8 2.29L — Normal
24 SUNPHARMA 1941.1 -0.66% 1984.82 1916.71 1848.6
67.9%
7.11%
61.79 15.79L — Normal
25 NESTLEIND 1443.5 -0.3% 1493.08 1441.91 1390.74
51.55%
7.1%
47.1 30.41L — Normal
26 BHARTIARTL 1898.2 -1.7% 1972.29 1907.35 1842.41
42.96%
6.81%
54.07 44.84L — Normal
27 ITC 283.45 +0.76% 293.49 283.85 274.21
47.93%
6.79%
34.41 2.50Cr — Normal
28 HDFCLIFE 555.05 +0.74% 585.06 566.19 547.32
20.48%
6.67%
42.06 13.54L — Normal
29 ADANIPORTS 1768.3 -0.57% 1883.54 1825.98 1768.42
-0.1%
6.3%
30.57 16.86L ● Oversold
30 BPCL 310.15 +0.1% 319.03 309.57 300.11
53.07%
6.11%
51.69 57.96L — Normal
31 HINDUNILVR 2145.0 -0.78% 2219.36 2153.67 2087.98
43.4%
6.1%
41.01 16.03L — Normal
32 NTPC 347.2 -0.4% 360.96 350.41 339.87
34.76%
6.02%
40.48 63.00L — Normal
33 GRASIM 3089.4 -0.76% 3228.11 3143.53 3058.96
18.0%
5.38%
43.26 3.42L ▼ Lower Walk
34 ASIANPAINT 2637.9 -1.16% 2754.15 2685.62 2617.1
15.18%
5.1%
35.04 6.46L ▼ Lower Walk
35 CIPLA 1410.6 +1.26% 1476.34 1440.01 1403.69
9.51%
5.05%
31.99 29.18L ▼ Lower Walk
36 WIPRO 177.12 +1.32% 178.88 174.7 170.51
78.97%
4.79%
46.91 1.33Cr — Normal
37 SBIN 1015.0 +0.24% 1059.28 1034.91 1010.54
9.15%
4.71%
41.31 1.38Cr ▼ Lower Walk
38 JSWSTEEL 1240.8 -0.48% 1266.54 1237.43 1208.33
55.78%
4.7%
54.59 10.84L — Normal
39 RELIANCE 1278.0 +0.46% 1330.23 1300.92 1271.62
10.89%
4.51%
41.99 98.17L ▼ Lower Walk
40 POWERGRID 288.2 -0.55% 291.15 285.28 279.41
74.87%
4.12%
52.94 84.75L — 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