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 | 281.7 | -0.35% | 303.27 | 284.27 | 265.27 |
43.24%
|
13.37%
|
34.67 | 19.09L | — Normal |
| 2 | POWERGRIDTOP | 300.15 | +2.6% | 323.07 | 304.72 | 286.37 |
37.55%
|
12.04%
|
29.14 | 98.83L | — Normal |
| 3 | ADANIPORTSTOP | 1824.5 | +0.73% | 1845.18 | 1763.73 | 1682.29 |
87.3%
|
9.24%
|
56.91 | 21.02L | ▲ Upper Walk |
| 4 | LTTOP | 4079.8 | +0.8% | 4110.32 | 3976.85 | 3843.38 |
88.57%
|
6.71%
|
61.99 | 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.