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)
4 Squeezes detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
0
Overbought
0
Oversold
4
Squeeze ⚡
3
Upper Walk ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ICICIBANKTOP 1345.5 -0.19% 1373.37 1337.54 1301.71
61.1%
5.36%
79.5 2.40Cr ⚡ Squeeze
2 INDUSINDBKTOP 847.9 +1.03% 849.54 830.05 810.56
95.8%
4.7%
69.91 37.85L ▲ Upper Walk
3 KOTAKBANKTOP 379.15 -0.9% 385.02 376.22 367.41
66.7%
4.68%
63.69 1.21Cr — Normal
4 PNBTOP 113.56 +0.53% 114.04 111.83 109.63
89.1%
3.94%
71.26 1.84Cr ▲ Upper Walk
5 HDFCBANKTOP 795.45 -1.78% 818.75 804.1 789.45
20.5%
3.64%
33.95 6.29Cr ⚡ Squeeze
6 SBINTOP 1067.15 -0.32% 1078.84 1065.88 1052.93
54.9%
2.43%
51.46 2.03Cr ⚡ Squeeze
7 BANKBARODATOP 279.39 +0.2% 280.18 276.96 273.74
87.7%
2.33%
84.63 79.09L ▲ Upper Walk
8 AXISBANKTOP 1349.6 -0.4% 1366.93 1351.35 1335.77
44.4%
2.31%
44.34 52.32L ⚡ Squeeze

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

Related Tools

Generate AI summary