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 | ADANIPORTSTOP | 1767.5 | +0.08% | 1778.34 | 1698.95 | 1619.56 |
93.17%
|
9.35%
|
61.82 | 15.88L | ▲ Upper Walk |
| 2 | LTFTOP | 310.25 | +0.18% | 324.57 | 315.3 | 306.03 |
22.76%
|
5.88%
|
44.69 | 39.14L | — Normal |
| 3 | LTTOP | 3939.5 | +0.11% | 4136.66 | 4018.68 | 3900.69 |
16.45%
|
5.87%
|
28.59 | 11.49L | ▼ Lower Walk |
| 4 | POWERGRIDTOP | 269.0 | -0.72% | 272.1 | 266.89 | 261.69 |
70.22%
|
3.9%
|
44.85 | 1.08Cr | — 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.