Bollinger Band Scans

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

Live data
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 ▼
3
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 GODREJPROPTOP 1762.7 -1.45% 1901.92 1775.92 1649.93
44.75%
14.19%
35.4 21.51L — Normal
2 DLFTOP 590.6 -0.56% 616.52 589.35 562.17
52.31%
9.22%
41.79 1.62Cr — Normal
3 OBEROIRLTYTOP 1738.0 +2.68% 1726.43 1659.25 1592.08
108.61%
8.1%
50.72 0 ● Overbought

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.

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

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