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 | LTTOP | 4239.1 | +1.29% | 4189.3 | 3815.48 | 3441.67 |
106.66%
|
19.59%
|
95.61 | 0 | ● Overbought |
| 2 | LTFTOP | 273.11 | -0.22% | 280.82 | 255.81 | 230.8 |
84.59%
|
19.55%
|
69.83 | 0 | ▲ Upper Walk |
| 3 | ADANIPORTSTOP | 1935.5 | -0.37% | 1971.67 | 1815.38 | 1659.09 |
88.43%
|
17.22%
|
74.45 | 0 | ▲ Upper Walk |
| 4 | POWERGRIDTOP | 263.7 | +2.23% | 267.71 | 255.14 | 242.57 |
84.05%
|
9.85%
|
56.56 | 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.