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 | OBEROIRLTYTOP | 1626.1 | -0.85% | 1781.34 | 1677.14 | 1572.95 |
25.51%
|
12.43%
|
40.08 | 0 | — Normal |
| 2 | DLFTOP | 686.75 | -1.09% | 691.29 | 665.44 | 639.59 |
91.22%
|
7.77%
|
72.86 | 0 | ▲ Upper Walk |
| 3 | GODREJPROPTOP | 1568.0 | -2.0% | 1634.83 | 1574.1 | 1513.37 |
44.98%
|
7.72%
|
52.38 | 6.74L | — 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.