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 ⚡
1
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 MGLTOP 1075.2 -2.54% 1180.74 1098.41 1016.08
35.9%
14.99%
36.66 0 — Normal
2 IGLTOP 158.64 -3.63% 172.01 160.74 149.47
40.68%
14.02%
43.78 0 — Normal
3 GUJGASLTDTOP 401.3 +8.52% 405.75 379.22 352.69
91.61%
13.99%
52.11 0 ▲ Upper Walk
4 GAILTOP 163.58 -3.21% 170.82 163.01 155.2
53.65%
9.58%
47.3 0 — 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

Related Tools

Generate AI summary