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 ⚡
2
Upper Walk ▲
0
Lower Walk ▼
5
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ABBTOP 7375.5 -2.03% 7738.04 7146.07 6554.11
69.38%
16.57%
59.2 2.59L — Normal
2 BHELTOP 417.45 +0.24% 437.47 405.42 373.38
68.76%
15.81%
62.4 70.3K — Normal
3 LTTSTOP 3410.9 +2.33% 3520.1 3274.37 3028.64
77.78%
15.01%
65.45 1.2K — Normal
4 SIEMENSTOP 3698.8 +1.35% 3733.35 3579.2 3425.05
88.79%
8.61%
62.72 1.9K ▲ Upper Walk
5 HAVELLSTOP 1226.9 +1.41% 1229.78 1191.43 1153.09
96.24%
6.44%
61.81 10.66L ▲ 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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