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 | +1.1% | 325.28 | 286.92 | 248.56 |
102.31%
|
26.74%
|
25.44 | 0 | ● Overbought |
| 2 | MGLTOP | 1092.1 | +1.4% | 1167.82 | 1113.24 | 1058.66 |
30.63%
|
9.81%
|
40.79 | 2.9K | — Normal |
| 3 | IGLTOP | 150.2 | +0.58% | 159.77 | 153.23 | 146.69 |
26.83%
|
8.54%
|
44.91 | 42.7K | — Normal |
| 4 | GAILTOP | 173.91 | +2.29% | 175.99 | 172.78 | 169.56 |
67.65%
|
3.72%
|
50.42 | 11.15L | — 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.