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
3
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
4
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 COFORGETOP 1854.1 +1.29% 2036.13 1901.36 1766.58
32.47%
14.18%
47.78 26.10L — Normal
2 INFYTOP 1038.0 +0.57% 1185.22 1111.96 1038.7
-0.48%
13.18%
31.04 57.49L ● Oversold
3 HCLTECHTOP 1212.3 +1.11% 1373.48 1295.58 1217.67
-3.45%
12.03%
30.61 21.45L ● Oversold
4 WIPROTOP 167.32 +0.73% 187.33 176.88 166.42
4.3%
11.82%
29.42 80.06L ▼ Lower Walk
5 MPHASISTOP 2295.0 +0.17% 2536.25 2413.88 2291.5
1.43%
10.14%
34.13 1.79L ▼ Lower Walk
6 TCSTOP 2207.9 +0.39% 2391.86 2290.2 2188.55
9.52%
8.88%
40.91 25.12L ▼ Lower Walk
7 LTMTOP 4312.0 -0.14% 4713.61 4515.36 4317.1
-1.29%
8.78%
36.94 3.41L ● Oversold
8 TECHMTOP 1538.9 +1.14% 1655.31 1586.2 1517.09
15.78%
8.71%
42.45 19.17L ▼ 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

Related Tools

Join Telegram
Generate AI summary