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 ▲
0
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ONGCTOP 238.56 -4.1% 255.67 244.85 234.03
20.93%
8.84%
41.48 1.99Cr — Normal
2 HINDPETROTOP 393.95 +3.37% 409.08 395.27 381.47
45.2%
6.99%
43.78 71.19L — Normal
3 NTPCTOP 350.8 +1.04% 360.16 349.91 339.65
54.36%
5.86%
46.14 1.24Cr — Normal
4 BPCLTOP 316.25 +1.97% 319.34 310.36 301.38
82.8%
5.79%
52.26 59.54L ▲ Upper Walk
5 IOCTOP 141.52 +2.2% 143.9 140.47 137.05
65.26%
4.88%
48.63 82.60L — Normal
6 RELIANCETOP 1280.0 +0.16% 1328.78 1297.87 1266.96
21.09%
4.76%
41.94 71.63L — Normal
7 POWERGRIDTOP 288.85 +0.23% 291.76 285.62 279.49
76.28%
4.3%
57.05 1.21Cr — Normal
8 GAILTOP 173.91 +2.29% 175.99 172.78 169.56
67.65%
3.72%
50.42 11.15L — 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

Related Tools

Join Telegram
Generate AI summary