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 | HAVELLSTOP | 1111.9 | +0.27% | 1343.8 | 1216.85 | 1089.9 |
8.66%
|
20.87%
|
14.44 | 6.83L | ▼ Lower Walk |
| 2 | LTTSTOP | 3350.0 | -0.6% | 3672.1 | 3507.43 | 3342.77 |
2.2%
|
9.39%
|
19.75 | 32.0K | ▼ Lower Walk |
| 3 | BHELTOP | 430.7 | +0.58% | 442.4 | 425.59 | 408.78 |
65.2%
|
7.9%
|
60.44 | 64.32L | — Normal |
| 4 | SIEMENSTOP | 3931.0 | -0.48% | 4129.58 | 3991.23 | 3852.89 |
28.23%
|
6.93%
|
24.56 | 1.54L | — Normal |
| 5 | ABBTOP | 7240.0 | -0.82% | 7681.18 | 7468.23 | 7255.27 |
-3.59%
|
5.7%
|
36.63 | 1.87L | ● 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.