Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.
| # | Symbol | LTP | Chg % | Upper | Middle | Lower | %B Position | Bandwidth | RSI | Volume | Signal |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | GUJGASLTDTOP | 327.05 | -0.75% | 332.79 | 290.44 | 248.08 |
93.22%
|
29.17%
|
21.12 | 0 | ▲ Upper Walk |
| 2 | IGLTOP | 149.48 | -1.26% | 162.27 | 153.99 | 145.7 |
22.81%
|
10.76%
|
42.34 | 1.7K | — Normal |
| 3 | MGLTOP | 1078.8 | -0.29% | 1170.94 | 1115.45 | 1059.95 |
16.98%
|
9.95%
|
36.47 | 40 | ▼ Lower Walk |
| 4 | 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
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.