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 ⚡
1
Upper Walk ▲
4
Lower Walk ▼
5
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 LTTSTOP 4290.1 +2.57% 4414.27 3670.93 2927.58
91.65%
40.5%
82.36 0 ▲ Upper Walk
2 SIEMENSTOP 3277.8 -2.62% 3945.28 3558.47 3171.65
13.72%
21.74%
33.55 0 ▼ Lower Walk
3 BHELTOP 387.6 -3.57% 466.03 422.1 378.17
10.73%
20.81%
33.93 1.07Cr ▼ Lower Walk
4 ABBTOP 6410.0 -1.84% 7235.01 6720.0 6204.99
19.9%
15.33%
41.05 0 ▼ Lower Walk
5 HAVELLSTOP 1011.8 -0.8% 1127.87 1055.82 983.76
19.46%
13.65%
44.0 0 ▼ Lower 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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