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 | 251.05 | +1.85% | 272.46 | 254.02 | 235.58 |
41.95%
|
14.52%
|
36.81 | 60.63L | — Normal |
| 2 | ADANIPORTSTOP | 1872.0 | +6.29% | 1837.49 | 1761.59 | 1685.69 |
122.73%
|
8.62%
|
64.1 | 77.93L | ● Overbought |
| 3 | LTTOP | 3837.1 | +0.94% | 3838.43 | 3694.27 | 3550.1 |
99.54%
|
7.8%
|
66.93 | 17.55L | ▲ Upper Walk |
| 4 | POWERGRIDTOP | 260.0 | +3.42% | 261.32 | 251.89 | 242.46 |
93.0%
|
7.49%
|
76.03 | 1.05Cr | ▲ 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.