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 LTTOP 3785.6 -0.18% 4170.88 3923.8 3676.72
22.03%
12.59%
25.3 19.94L — Normal
2 LTFTOP 302.4 -0.87% 334.12 314.46 294.79
19.35%
12.51%
20.77 28.38L ▼ Lower Walk
3 ADANIPORTSTOP 1768.9 -2.78% 1886.16 1824.6 1763.03
4.77%
6.75%
30.52 78.6K ▼ Lower Walk
4 POWERGRIDTOP 288.25 -0.36% 291.46 285.5 279.53
73.09%
4.18%
54.33 1.70L — 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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