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 | 1879.5 | +3.58% | 1833.65 | 1637.08 | 1440.51 |
111.66%
|
24.01%
|
75.48 | 14.0K | ● Overbought |
| 2 | DLFTOP | 769.3 | +1.89% | 758.61 | 692.44 | 626.28 |
108.08%
|
19.11%
|
84.01 | 46.8K | ● Overbought |
| 3 | OBEROIRLTYTOP | 1817.0 | +2.37% | 1781.38 | 1675.22 | 1569.06 |
116.78%
|
12.67%
|
69.84 | 5.1K | ● 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.