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 | LTFTOP | 312.75 | +3.42% | 333.51 | 315.12 | 296.72 |
43.57%
|
11.68%
|
33.18 | 1.23L | — Normal |
| 2 | LTTOP | 3806.0 | +0.54% | 4131.41 | 3905.84 | 3680.27 |
27.87%
|
11.55%
|
30.96 | 14.54L | — Normal |
| 3 | ADANIPORTSTOP | 1770.4 | +0.12% | 1886.82 | 1824.31 | 1761.8 |
6.88%
|
6.85%
|
35.46 | 22.67L | ▼ Lower Walk |
| 4 | POWERGRIDTOP | 288.85 | +0.23% | 291.76 | 285.62 | 279.49 |
76.28%
|
4.3%
|
57.05 | 1.21Cr | — 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.