Bollinger Band Scans

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

Live data
All Automobile & Ancillaries Banks Capital Goods Chemicals Construction Materials FMCG Finance Gases Healthcare Infrastructure Insurance Media Metals & Mining Other Power & Energy Real Estate Software & IT Telecom bank_nifty nifty_50 nifty_energy nifty_fmcg nifty_infra nifty_it nifty_metal nifty_pharma others
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
1
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
5
Lower Walk ▼
9
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 SAILTOP 179.52 -2.32% 204.69 185.95 167.22
32.83%
20.15%
49.88 83.91L — Normal
2 NATIONALUMTOP 362.2 -2.63% 405.76 382.36 358.96
6.92%
12.24%
26.38 64.10L ▼ Lower Walk
3 ADANIENTTOP 3061.0 -0.07% 3190.06 3006.78 2823.51
64.79%
12.19%
54.05 17.59L — Normal
4 BHARATFORGTOP 1944.3 -0.09% 2127.36 2026.33 1925.3
9.4%
9.97%
39.05 2.59L ▼ Lower Walk
5 VEDLTOP 263.4 -2.44% 286.66 273.11 259.55
14.2%
9.93%
39.15 1.12Cr ▼ Lower Walk
6 JINDALSTELTOP 1118.3 -1.12% 1193.51 1145.46 1097.42
21.73%
8.39%
41.91 5.20L — Normal
7 HINDALCOTOP 985.5 -2.4% 1063.73 1025.8 987.86
-3.11%
7.4%
25.35 45.41L ● Oversold
8 JSWSTEELTOP 1268.4 -2.05% 1347.46 1305.91 1264.36
4.86%
6.36%
33.26 14.91L ▼ Lower Walk
9 TATASTEELTOP 182.58 -1.84% 189.03 185.44 181.86
10.04%
3.87%
42.91 2.96Cr ▼ Lower Walk

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