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 | 2028.7 | -0.6% | 2217.89 | 2042.7 | 1867.5 |
46.01%
|
17.15%
|
48.34 | 5.70L | — Normal |
| 2 | DLFTOP | 645.9 | -0.86% | 694.14 | 656.5 | 618.86 |
35.92%
|
11.47%
|
42.55 | 8.2K | — Normal |
| 3 | OBEROIRLTYTOP | 1823.7 | -1.5% | 1975.15 | 1869.93 | 1764.71 |
28.03%
|
11.25%
|
29.34 | 951 | — 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.