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 | INDUSTOWERTOP | 413.15 | -1.6% | 449.88 | 431.52 | 413.17 |
-0.1%
|
8.51%
|
3.75 | 98.08L | ● Oversold |
| 2 | TATACOMMTOP | 1561.4 | -0.09% | 1580.91 | 1526.53 | 1472.14 |
82.1%
|
7.13%
|
97.46 | 2.48L | ▲ Upper Walk |
| 3 | IDEATOP | 9.53 | +0.95% | 9.54 | 9.32 | 9.1 |
97.7%
|
4.72%
|
100.0 | 45.72Cr | ▲ Upper Walk |
| 4 | BHARTIARTLTOP | 1840.6 | -0.72% | 1881.3 | 1863.89 | 1846.49 |
-16.9%
|
1.87%
|
7.51 | 1.59Cr | ● Oversold |
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.