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 | ZEELTOP | 112.27 | +7.52% | 105.55 | 90.55 | 75.55 |
122.4%
|
33.13%
|
75.76 | 23.03Cr | ● Overbought |
| 2 | SUNTVTOP | 516.55 | +0.91% | 567.06 | 522.14 | 477.22 |
43.78%
|
17.21%
|
42.54 | 4.54L | — Normal |
| 3 | PVRINOXTOP | 973.25 | -0.32% | 1050.45 | 996.07 | 941.69 |
29.02%
|
10.92%
|
33.3 | 2.00L | — 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.