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
0
Oversold
0
Squeeze ⚡
4
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 BHARTIARTLTOP 2096.0 +1.15% 2142.49 1957.42 1772.36
87.44%
18.91%
76.59 4.90L ▲ Upper Walk
2 IDEATOP 12.97 +2.37% 13.17 12.27 11.37
88.89%
14.67%
66.04 32.13L ▲ Upper Walk
3 TATACOMMTOP 1747.1 +2.75% 1773.32 1707.5 1641.69
80.08%
7.71%
51.22 4.2K ▲ Upper Walk
4 INDUSTOWERTOP 386.95 +0.89% 390.06 382.25 374.44
80.09%
4.09%
53.35 1.11L ▲ 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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