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 | 335.5 | +3.06% | 333.13 | 321.83 | 310.54 |
110.5%
|
7.02%
|
69.27 | 14.33L | ● Overbought |
| 2 | IGLTOP | 166.05 | -0.07% | 168.36 | 162.94 | 157.52 |
78.7%
|
6.65%
|
96.64 | 32.15L | ⚡ Squeeze |
| 3 | GAILTOP | 158.92 | +1.79% | 157.71 | 154.73 | 151.76 |
120.3%
|
3.85%
|
93.37 | 95.83L | ● Overbought |
| 4 | MGLTOP | 1091.7 | +1.36% | 1091.54 | 1073.75 | 1055.97 |
100.4%
|
3.31%
|
81.34 | 3.44L | ● Overbought |
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.