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 ⚡
0
Upper Walk ▲
1
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 LTFTOP 312.75 +3.42% 333.51 315.12 296.72
43.57%
11.68%
33.18 1.23L — Normal
2 LTTOP 3806.0 +0.54% 4131.41 3905.84 3680.27
27.87%
11.55%
30.96 14.54L — Normal
3 ADANIPORTSTOP 1770.4 +0.12% 1886.82 1824.31 1761.8
6.88%
6.85%
35.46 22.67L ▼ Lower Walk
4 POWERGRIDTOP 288.85 +0.23% 291.76 285.62 279.49
76.28%
4.3%
57.05 1.21Cr — 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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