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 | 1762.7 | -1.45% | 1901.92 | 1775.92 | 1649.93 |
44.75%
|
14.19%
|
35.4 | 21.51L | — Normal |
| 2 | DLFTOP | 590.6 | -0.56% | 616.52 | 589.35 | 562.17 |
52.31%
|
9.22%
|
41.79 | 1.62Cr | — Normal |
| 3 | OBEROIRLTYTOP | 1738.0 | +2.68% | 1726.43 | 1659.25 | 1592.08 |
108.61%
|
8.1%
|
50.72 | 0 | ● Overbought |
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.