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
2
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 INDUSTOWERTOP 413.15 -1.6% 449.88 431.52 413.17
-0.1%
8.51%
3.75 98.08L ● Oversold
2 TATACOMMTOP 1561.4 -0.09% 1580.91 1526.53 1472.14
82.1%
7.13%
97.46 2.48L ▲ Upper Walk
3 IDEATOP 9.53 +0.95% 9.54 9.32 9.1
97.7%
4.72%
100.0 45.72Cr ▲ Upper Walk
4 BHARTIARTLTOP 1840.6 -0.72% 1881.3 1863.89 1846.49
-16.9%
1.87%
7.51 1.59Cr ● Oversold

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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