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 ▲
2
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 GUJGASLTDTOP 327.05 -0.75% 332.79 290.44 248.08
93.22%
29.17%
21.12 0 ▲ Upper Walk
2 IGLTOP 149.48 -1.26% 162.27 153.99 145.7
22.81%
10.76%
42.34 1.7K — Normal
3 MGLTOP 1078.8 -0.29% 1170.94 1115.45 1059.95
16.98%
9.95%
36.47 40 ▼ Lower Walk
4 GAILTOP 170.02 -1.15% 175.83 172.68 169.53
7.78%
3.65%
39.04 58.14L ▼ Lower 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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