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)
⚡ 2 Squeezes detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
3
Overbought
1
Oversold
2
Squeeze ⚡
3
Upper Walk ▲
0
Lower Walk ▼
13
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 TATACHEMTOP 706.65 -1.58% 742.05 705.78 669.52
51.2%
10.28%
69.92 14.44L — Normal
2 BERGEPAINTTOP 472.1 -0.53% 482.88 462.11 441.33
74.1%
8.99%
89.18 1.82L — Normal
3 PIINDTOP 3112.2 +2.26% 3100.03 2970.79 2841.55
104.7%
8.7%
82.61 3.71L ● Overbought
4 DEEPAKNTRTOP 1533.7 +0.73% 1545.96 1485.01 1424.07
89.9%
8.21%
96.63 1.90L ▲ Upper Walk
5 GNFCTOP 463.05 +2.82% 459.3 441.35 423.4
110.4%
8.13%
99.51 3.53L ● Overbought
6 ASIANPAINTTOP 2440.3 +0.71% 2458.06 2376.3 2294.55
89.1%
6.88%
90.53 14.96L ⚡ Squeeze
7 ATULTOP 6598.5 +0.59% 6647.31 6445.65 6243.99
87.9%
6.26%
66.45 13.2K ▲ Upper Walk
8 COROMANDELTOP 2077.8 -0.49% 2173.26 2112.53 2051.8
21.4%
5.75%
1.88 3.19L — Normal
9 UPLTOP 659.95 +0.12% 664.53 649.59 634.64
84.7%
4.6%
90.59 16.66L ▲ Upper Walk
10 AARTIINDTOP 437.9 +1.44% 435.59 426.86 418.13
113.2%
4.09%
95.21 8.93L ● Overbought
11 PIDILITIND 1331.0 +0.32% 1364.57 1337.71 1310.86
37.5%
4.02%
17.78 15.87L — Normal
12 NAVINFLUOR 6256.0 +0.5% 6272.8 6212.12 6151.45
86.2%
1.95%
85.38 1.21L ⚡ Squeeze
13 CHAMBLFERT 453.25 -0.73% 458.29 456.39 454.48
-32.3%
0.83%
21.95 6.71L ● Oversold

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

Generate AI summary