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 | TATACOMMTOP | 1777.9 | +0.94% | 1984.48 | 1865.38 | 1746.28 |
13.27%
|
12.77%
|
28.91 | 957 | ▼ Lower Walk |
| 2 | IDEATOP | 13.15 | -2.88% | 14.74 | 13.92 | 13.1 |
3.05%
|
11.78%
|
27.98 | 61.24L | ▼ Lower Walk |
| 3 | INDUSTOWERTOP | 394.6 | +1.11% | 413.34 | 396.07 | 378.81 |
45.73%
|
8.72%
|
56.46 | 31.30L | — Normal |
| 4 | BHARTIARTLTOP | 1898.2 | -1.7% | 1969.47 | 1909.72 | 1849.98 |
40.35%
|
6.26%
|
44.92 | 44.84L | — 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.