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
1
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
2
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 GUJGASLTDTOP 229.77 -3.7% 270.29 251.33 232.38
-6.88%
15.08%
28.96 0 ● Oversold
2 IGLTOP 138.75 -2.04% 146.41 142.49 138.56
2.42%
5.51%
31.86 0 ▼ Lower Walk
3 GAILTOP 165.17 +0.24% 171.73 167.71 163.7
18.31%
4.79%
52.61 57.70L ▼ Lower Walk
4 MGLTOP 1046.9 -0.58% 1060.99 1041.33 1021.66
64.17%
3.78%
52.12 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

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