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 | 3785.6 | -0.18% | 4170.88 | 3923.8 | 3676.72 |
22.03%
|
12.59%
|
25.3 | 19.94L | — Normal |
| 2 | LTFTOP | 302.4 | -0.87% | 334.12 | 314.46 | 294.79 |
19.35%
|
12.51%
|
20.77 | 28.38L | ▼ Lower Walk |
| 3 | ADANIPORTSTOP | 1768.9 | -2.78% | 1886.16 | 1824.6 | 1763.03 |
4.77%
|
6.75%
|
30.52 | 78.6K | ▼ Lower Walk |
| 4 | POWERGRIDTOP | 288.25 | -0.36% | 291.46 | 285.5 | 279.53 |
73.09%
|
4.18%
|
54.33 | 1.70L | — 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.