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 | GODREJPROPTOP | 1748.0 | -6.07% | 2137.95 | 1978.9 | 1819.85 |
-22.59%
|
16.07%
|
17.43 | 26.69L | ● Oversold |
| 2 | OBEROIRLTYTOP | 1750.0 | -2.01% | 1942.61 | 1861.09 | 1779.57 |
-18.14%
|
8.76%
|
25.33 | 5.25L | ● Oversold |
| 3 | DLFTOP | 643.0 | -2.22% | 695.57 | 673.4 | 651.24 |
-18.59%
|
6.58%
|
29.01 | 43.84L | ● Oversold |
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.