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 ▲
2
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 TATACOMMTOP 1777.9 +0.94% 1984.48 1865.38 1746.28
13.27%
12.77%
28.91 957 ▼ Lower Walk
2 IDEATOP 13.15 -2.88% 14.74 13.92 13.1
3.05%
11.78%
27.98 61.24L ▼ Lower Walk
3 INDUSTOWERTOP 394.6 +1.11% 413.34 396.07 378.81
45.73%
8.72%
56.46 31.30L — Normal
4 BHARTIARTLTOP 1898.2 -1.7% 1969.47 1909.72 1849.98
40.35%
6.26%
44.92 44.84L — 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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