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 | 241.2 | -5.52% | 275.03 | 259.41 | 243.78 |
-8.26%
|
12.05%
|
34.83 | 17.89L | ● Oversold |
| 2 | MGLTOP | 1085.6 | -1.31% | 1141.52 | 1099.54 | 1057.55 |
33.4%
|
7.64%
|
39.64 | 75.7K | — Normal |
| 3 | IGLTOP | 151.75 | -0.99% | 156.29 | 150.69 | 145.09 |
59.46%
|
7.43%
|
57.91 | 7.65L | — Normal |
| 4 | GAILTOP | 174.1 | +0.0% | 176.81 | 173.77 | 170.72 |
55.5%
|
3.5%
|
50.7 | 62.53L | — Normal |
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.