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 | 7219.0 | +6.1% | 7530.28 | 6783.73 | 6037.17 |
79.15%
|
22.01%
|
56.22 | 6.36L | — Normal |
| 2 | BHELTOP | 416.2 | -1.46% | 433.97 | 400.38 | 366.78 |
73.55%
|
16.78%
|
56.85 | 0 | — Normal |
| 3 | LTTSTOP | 3403.8 | -2.51% | 3846.64 | 3600.35 | 3354.06 |
10.1%
|
13.68%
|
28.61 | 0 | ▼ Lower Walk |
| 4 | SIEMENSTOP | 3823.3 | -1.43% | 3960.76 | 3720.04 | 3479.32 |
71.45%
|
12.94%
|
50.84 | 0 | — Normal |
| 5 | HAVELLSTOP | 1211.0 | +0.83% | 1268.97 | 1218.59 | 1168.2 |
42.47%
|
8.27%
|
27.45 | 12.47L | — 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.