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 ▲
1
Lower Walk ▼
5
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ABBTOP 7219.0 +6.1% 7530.28 6783.73 6037.17
79.15%
22.01%
56.22 6.36L — Normal
2 BHELTOP 416.2 -1.46% 433.97 400.38 366.78
73.55%
16.78%
56.85 0 — Normal
3 LTTSTOP 3403.8 -2.51% 3846.64 3600.35 3354.06
10.1%
13.68%
28.61 0 ▼ Lower Walk
4 SIEMENSTOP 3823.3 -1.43% 3960.76 3720.04 3479.32
71.45%
12.94%
50.84 0 — Normal
5 HAVELLSTOP 1211.0 +0.83% 1268.97 1218.59 1168.2
42.47%
8.27%
27.45 12.47L — 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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