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.
1
Overbought
0
Oversold
1
Squeeze ⚡
2
Upper Walk ▲
0
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 POWERGRIDTOP 312.25 -0.29% 316.2 305.22 294.23
82.0%
7.2%
79.5 2.15Cr ▲ Upper Walk
2 ADANIPORTSTOP 1549.8 +2.51% 1536.46 1485.66 1434.87
113.1%
6.84%
89.42 74.76L ● Overbought
3 LTTOP 4119.8 +1.1% 4125.91 3997.88 3869.86
97.6%
6.4%
96.03 50.93L ▲ Upper Walk
4 L&TFHTOP 280.41 -0.21% 283.0 276.47 269.94
80.2%
4.72%
72.5 54.25L ⚡ 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

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