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)
0
Overbought
1
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 241.2 -5.52% 275.03 259.41 243.78
-8.26%
12.05%
34.83 17.89L ● Oversold
2 MGLTOP 1085.6 -1.31% 1141.52 1099.54 1057.55
33.4%
7.64%
39.64 75.7K — Normal
3 IGLTOP 151.75 -0.99% 156.29 150.69 145.09
59.46%
7.43%
57.91 7.65L — Normal
4 GAILTOP 174.1 +0.0% 176.81 173.77 170.72
55.5%
3.5%
50.7 62.53L — 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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