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 IDEATOP 14.96 +0.81% 15.75 14.63 13.51
64.73%
15.31%
58.95 53.77Cr — Normal
2 BHARTIARTLTOP 1840.0 +0.21% 1979.93 1885.39 1790.85
25.99%
10.03%
36.38 37.30L — Normal
3 TATACOMMTOP 1755.2 -0.72% 1784.49 1711.18 1637.87
80.02%
8.57%
60.65 1.67L ▲ Upper Walk
4 INDUSTOWERTOP 387.95 +4.29% 388.01 377.31 366.61
99.72%
5.67%
58.63 1.66Cr ▲ 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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