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 ⚡
2
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 LTFTOP 281.7 -0.35% 303.27 284.27 265.27
43.24%
13.37%
34.67 19.09L — Normal
2 POWERGRIDTOP 300.15 +2.6% 323.07 304.72 286.37
37.55%
12.04%
29.14 98.83L — Normal
3 ADANIPORTSTOP 1824.5 +0.73% 1845.18 1763.73 1682.29
87.3%
9.24%
56.91 21.02L ▲ Upper Walk
4 LTTOP 4079.8 +0.8% 4110.32 3976.85 3843.38
88.57%
6.71%
61.99 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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