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 | GAILTOP | 188.58 | +0.31% | 190.12 | 173.05 | 155.98 |
95.49%
|
19.73%
|
76.09 | 0 | ▲ Upper Walk |
| 2 | GUJGASLTDTOP | 229.77 | -3.7% | 270.29 | 251.33 | 232.38 |
-6.88%
|
15.08%
|
28.96 | 0 | ● Oversold |
| 3 | MGLTOP | 1166.3 | +4.13% | 1124.83 | 1059.35 | 993.86 |
131.66%
|
12.36%
|
72.0 | 0 | ● Overbought |
| 4 | IGLTOP | 145.16 | +1.26% | 147.23 | 140.85 | 134.46 |
83.79%
|
9.07%
|
51.91 | 0 | ▲ Upper Walk |
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.