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 | ABBTOP | 7327.5 | -0.65% | 7753.16 | 7156.05 | 6558.94 |
64.36%
|
16.69%
|
60.95 | 3.71L | — Normal |
| 2 | BHELTOP | 415.95 | -0.32% | 437.71 | 405.53 | 373.36 |
66.18%
|
15.87%
|
67.87 | 90.43L | — Normal |
| 3 | LTTSTOP | 3501.0 | +2.43% | 3547.46 | 3292.78 | 3038.11 |
90.88%
|
15.47%
|
66.28 | 2.1K | ▲ Upper Walk |
| 4 | SIEMENSTOP | 3712.4 | +0.61% | 3751.97 | 3586.44 | 3420.92 |
88.05%
|
9.23%
|
76.79 | 24.1K | ▲ Upper Walk |
| 5 | HAVELLSTOP | 1238.8 | +0.97% | 1235.21 | 1195.5 | 1155.79 |
104.52%
|
6.64%
|
53.89 | 28.3K | ● 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.