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)
1 Squeeze detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
0
Overbought
0
Oversold
1
Squeeze ⚡
2
Upper Walk ▲
0
Lower Walk ▼
3
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 SUNTVTOP 632.2 +1.73% 635.15 612.06 588.98
93.6%
7.54%
100.0 1.96L ▲ Upper Walk
2 ZEELTOP 80.2 -3.25% 83.9 81.34 78.79
27.6%
6.28%
38.76 3.30Cr ⚡ Squeeze
3 PVRINOXTOP 950.85 +0.0% 955.04 943.06 931.09
82.5%
2.54%
53.6 1.74L ▲ 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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