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.
0
Overbought
0
Oversold
1
Squeeze ⚡
2
Upper Walk ▲
0
Lower Walk ▼
3
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 DLFTOP 589.7 +0.38% 593.79 575.25 556.71
89.0%
6.45%
93.32 43.68L ▲ Upper Walk
2 OBEROIRLTYTOP 1710.4 +0.25% 1719.28 1687.0 1654.72
86.2%
3.83%
100.0 9.69L ⚡ Squeeze
3 GODREJPROPTOP 1747.4 +0.43% 1752.49 1721.2 1689.91
91.9%
3.64%
78.56 9.69L ▲ Upper Walk

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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