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 Squeeze detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
3
Overbought
0
Oversold
1
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 335.5 +3.06% 333.13 321.83 310.54
110.5%
7.02%
69.27 14.33L ● Overbought
2 IGLTOP 166.05 -0.07% 168.36 162.94 157.52
78.7%
6.65%
96.64 32.15L ⚡ Squeeze
3 GAILTOP 158.92 +1.79% 157.71 154.73 151.76
120.3%
3.85%
93.37 95.83L ● Overbought
4 MGLTOP 1091.7 +1.36% 1091.54 1073.75 1055.97
100.4%
3.31%
81.34 3.44L ● 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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