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 ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 GUJGASLTDTOP 327.05 +1.1% 325.28 286.92 248.56
102.31%
26.74%
25.44 0 ● Overbought
2 MGLTOP 1092.1 +1.4% 1167.82 1113.24 1058.66
30.63%
9.81%
40.79 2.9K — Normal
3 IGLTOP 150.2 +0.58% 159.77 153.23 146.69
26.83%
8.54%
44.91 42.7K — Normal
4 GAILTOP 173.91 +2.29% 175.99 172.78 169.56
67.65%
3.72%
50.42 11.15L — 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.

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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