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 | MGLTOP | 1075.2 | -2.54% | 1180.74 | 1098.41 | 1016.08 |
35.9%
|
14.99%
|
36.66 | 0 | — Normal |
| 2 | IGLTOP | 158.64 | -3.63% | 172.01 | 160.74 | 149.47 |
40.68%
|
14.02%
|
43.78 | 0 | — Normal |
| 3 | GUJGASLTDTOP | 401.3 | +8.52% | 405.75 | 379.22 | 352.69 |
91.61%
|
13.99%
|
52.11 | 0 | ▲ Upper Walk |
| 4 | GAILTOP | 163.58 | -3.21% | 170.82 | 163.01 | 155.2 |
53.65%
|
9.58%
|
47.3 | 0 | — 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.