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
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 251.05 +1.85% 272.46 254.02 235.58
41.95%
14.52%
36.81 60.63L — Normal
2 ADANIPORTSTOP 1872.0 +6.29% 1837.49 1761.59 1685.69
122.73%
8.62%
64.1 77.93L ● Overbought
3 LTTOP 3837.1 +0.94% 3838.43 3694.27 3550.1
99.54%
7.8%
66.93 17.55L ▲ Upper Walk
4 POWERGRIDTOP 260.0 +3.42% 261.32 251.89 242.46
93.0%
7.49%
76.03 1.05Cr ▲ 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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