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 | POWERGRIDTOP | 312.25 | -0.29% | 316.2 | 305.22 | 294.23 |
82.0%
|
7.2%
|
79.5 | 2.15Cr | ▲ Upper Walk |
| 2 | ADANIPORTSTOP | 1549.8 | +2.51% | 1536.46 | 1485.66 | 1434.87 |
113.1%
|
6.84%
|
89.42 | 74.76L | ● Overbought |
| 3 | LTTOP | 4119.8 | +1.1% | 4125.91 | 3997.88 | 3869.86 |
97.6%
|
6.4%
|
96.03 | 50.93L | ▲ Upper Walk |
| 4 | L&TFHTOP | 280.41 | -0.21% | 283.0 | 276.47 | 269.94 |
80.2%
|
4.72%
|
72.5 | 54.25L | ⚡ Squeeze |
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.