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
Overbought
1
Oversold
0
Squeeze ⚡
2
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 GAILTOP 188.58 +0.31% 190.12 173.05 155.98
95.49%
19.73%
76.09 0 ▲ Upper Walk
2 GUJGASLTDTOP 229.77 -3.7% 270.29 251.33 232.38
-6.88%
15.08%
28.96 0 ● Oversold
3 MGLTOP 1166.3 +4.13% 1124.83 1059.35 993.86
131.66%
12.36%
72.0 0 ● Overbought
4 IGLTOP 145.16 +1.26% 147.23 140.85 134.46
83.79%
9.07%
51.91 0 ▲ 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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