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 ▲
3
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ONGCTOP 248.98 -1.16% 256.12 244.62 233.13
68.94%
9.4%
60.53 2.68L — Normal
2 HINDPETROTOP 381.7 -3.42% 409.07 395.06 381.04
2.35%
7.1%
39.22 1.00L ▼ Lower Walk
3 BPCLTOP 310.0 -1.27% 319.05 309.59 300.12
52.19%
6.11%
51.98 1.61L — Normal
4 NTPCTOP 347.2 -0.4% 360.77 350.17 339.57
35.99%
6.05%
39.34 63.00L — Normal
5 IOCTOP 138.47 -1.04% 143.79 140.36 136.92
22.56%
4.89%
42.56 1.19Cr — Normal
6 RELIANCETOP 1279.0 -0.74% 1328.74 1298.92 1269.1
16.6%
4.59%
38.43 12.9K ▼ Lower Walk
7 POWERGRIDTOP 288.25 -0.36% 291.46 285.5 279.53
73.09%
4.18%
54.33 1.70L — Normal
8 GAILTOP 170.02 -1.15% 175.83 172.68 169.53
7.78%
3.65%
39.04 58.14L ▼ 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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