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)
2 Squeezes detected — Volatility compression often precedes a sharp breakout. Watch for a candle close outside the bands for direction.
1
Overbought
0
Oversold
2
Squeeze ⚡
0
Upper Walk ▲
0
Lower Walk ▼
5
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 SIEMENSTOP 3563.8 -0.45% 3653.45 3431.94 3210.43
79.8%
12.91%
79.44 10.21L — Normal
2 BHELTOP 309.26 +5.7% 301.01 288.82 276.63
133.8%
8.44%
99.72 2.83Cr ● Overbought
3 LTTSTOP 3448.2 +0.32% 3493.83 3409.38 3324.94
73.0%
4.95%
50.43 2.98L — Normal
4 ABBTOP 6883.5 +0.12% 6955.13 6843.3 6731.47
68.0%
3.27%
63.95 5.49L ⚡ Squeeze
5 HAVELLSTOP 1291.1 +0.4% 1294.26 1279.68 1265.11
89.2%
2.28%
67.67 9.92L ⚡ 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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