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 | 1739.5 | -2.02% | 1969.22 | 1852.47 | 1735.72 |
1.62%
|
12.6%
|
21.56 | 12.7K | ▼ Lower Walk |
| 2 | IDEATOP | 13.06 | -0.53% | 14.71 | 13.85 | 12.98 |
4.62%
|
12.49%
|
30.35 | 24.75Cr | ▼ Lower Walk |
| 3 | INDUSTOWERTOP | 387.4 | -1.82% | 413.38 | 395.71 | 378.04 |
26.49%
|
8.93%
|
53.5 | 39.24L | — Normal |
| 4 | BHARTIARTLTOP | 1905.3 | +0.37% | 1963.83 | 1912.93 | 1862.04 |
42.5%
|
5.32%
|
46.31 | 52.30L | — 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.