Bollinger Band Scans

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

Live data
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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
2
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
6
Lower Walk ▼
13
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 BERGEPAINTTOP 458.5 -1.29% 550.19 500.75 451.3
7.28%
19.75%
9.57 2.81L ▼ Lower Walk
2 AARTIINDTOP 492.0 -2.62% 554.53 518.58 482.63
13.03%
13.86%
26.13 5.90L ▼ Lower Walk
3 DEEPAKNTRTOP 1596.0 -3.26% 1833.14 1723.63 1614.12
-8.27%
12.71%
30.33 3.23L ● Oversold
4 ASIANPAINTTOP 2467.7 -0.57% 2717.3 2580.26 2443.22
8.93%
10.62%
22.52 6.10L ▼ Lower Walk
5 PIINDTOP 2254.0 -4.21% 2565.35 2436.03 2306.72
-20.38%
10.62%
27.25 11.19L ● Oversold
6 COROMANDELTOP 1934.9 -1.58% 2065.68 1961.72 1857.76
37.1%
10.6%
51.68 1.01L — Normal
7 TATACHEMTOP 615.0 +0.49% 663.16 631.62 600.08
23.65%
9.99%
44.58 6.41L — Normal
8 NAVINFLUORTOP 8545.0 -1.98% 8894.01 8483.08 8072.14
57.53%
9.69%
62.23 86.3K — Normal
9 PIDILITINDTOP 1562.0 -0.06% 1707.2 1632.48 1557.76
2.84%
9.15%
31.51 3.47L ▼ Lower Walk
10 GNFCTOP 562.8 -1.26% 609.39 585.84 562.29
1.08%
8.04%
31.72 3.09L ▼ Lower Walk
11 CHAMBLFERT 419.4 +0.33% 440.19 423.31 406.42
38.44%
7.98%
35.93 5.70L — Normal
12 ATUL 6250.5 -1.26% 6699.84 6452.35 6204.86
9.22%
7.67%
40.33 33.3K ▼ Lower Walk
13 UPL 575.55 +0.26% 588.97 574.09 559.2
54.92%
5.19%
52.08 13.83L — 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

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