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)
1
Overbought
0
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
2
Lower Walk ▼
9
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 VEDLTOP 264.65 +0.0% 284.49 268.89 253.29
36.41%
11.6%
37.35 70.84L — Normal
2 NATIONALUMTOP 339.35 -1.32% 363.27 346.76 330.25
27.56%
9.52%
47.4 38.68L — Normal
3 ADANIENTTOP 3036.6 +0.34% 3257.03 3129.33 3001.63
13.69%
8.16%
42.54 6.37L ▼ Lower Walk
4 SAILTOP 162.62 +0.72% 171.95 165.45 158.94
28.29%
7.86%
42.82 1.37Cr — Normal
5 BHARATFORGTOP 2181.3 +1.38% 2213.07 2145.12 2077.16
76.62%
6.34%
60.75 7.05L — Normal
6 TATASTEELTOP 184.25 +0.86% 191.53 187.1 182.68
17.74%
4.73%
37.14 1.19Cr ▼ Lower Walk
7 HINDALCOTOP 945.25 +0.26% 979.66 957.22 934.78
23.33%
4.69%
36.4 20.35L — Normal
8 JINDALSTELTOP 1065.7 +2.89% 1065.14 1040.74 1016.33
101.15%
4.69%
59.72 26.18L ● Overbought
9 JSWSTEELTOP 1244.6 +0.31% 1267.54 1238.54 1209.53
60.46%
4.68%
49.48 11.28L — 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