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)
1
Overbought
0
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 TECHMTOP 1790.8 +1.2% 1939.57 1664.04 1388.51
73.0%
33.12%
74.81 31.07L — Normal
2 TCSTOP 2478.0 +0.73% 2692.15 2330.76 1969.37
70.37%
31.01%
78.36 34.28L — Normal
3 WIPROTOP 190.1 +3.04% 202.52 176.24 149.95
76.37%
29.83%
83.33 1.69Cr — Normal
4 HCLTECHTOP 1403.9 +0.24% 1515.6 1328.08 1140.55
70.22%
28.24%
89.74 30.93L — Normal
5 INFYTOP 1146.5 +2.08% 1227.62 1095.63 963.64
69.27%
24.09%
73.46 1.40Cr — Normal
6 MPHASISTOP 2518.0 -1.69% 2659.83 2442.07 2224.31
67.43%
17.83%
61.78 0 — Normal
7 COFORGETOP 2045.0 +4.23% 2039.48 1913.3 1787.13
102.19%
13.19%
69.82 61.25L ● Overbought
8 LTMTOP 4249.8 +3.79% 4386.88 4126.29 3865.7
73.7%
12.63%
58.09 0 — 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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