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)
42 Squeezes detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
37
Overbought
6
Oversold
42
Squeeze ⚡
48
Upper Walk ▲
1
Lower Walk ▼
182
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
181 TATACONSUM 1102.6 +0.8% 1101.03 1092.47 1083.92
109.2%
1.57%
77.3 14.40L ● Overbought
182 CHAMBLFERT 453.25 -0.73% 458.29 456.39 454.48
-32.3%
0.83%
21.95 6.71L ● Oversold
‹ Prev 1 8 9 10 Next ›

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

Related Tools

Generate AI summary