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 | 229.77 | -3.7% | 270.29 | 251.33 | 232.38 |
-6.88%
|
15.08%
|
28.96 | 0 | ● Oversold |
| 2 | IGLTOP | 138.75 | -2.04% | 146.41 | 142.49 | 138.56 |
2.42%
|
5.51%
|
31.86 | 0 | ▼ Lower Walk |
| 3 | GAILTOP | 165.17 | +0.24% | 171.73 | 167.71 | 163.7 |
18.31%
|
4.79%
|
52.61 | 57.70L | ▼ Lower Walk |
| 4 | MGLTOP | 1046.9 | -0.58% | 1060.99 | 1041.33 | 1021.66 |
64.17%
|
3.78%
|
52.12 | 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.