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 | 7375.5 | -2.03% | 7738.04 | 7146.07 | 6554.11 |
69.38%
|
16.57%
|
59.2 | 2.59L | — Normal |
| 2 | BHELTOP | 417.45 | +0.24% | 437.47 | 405.42 | 373.38 |
68.76%
|
15.81%
|
62.4 | 70.3K | — Normal |
| 3 | LTTSTOP | 3410.9 | +2.33% | 3520.1 | 3274.37 | 3028.64 |
77.78%
|
15.01%
|
65.45 | 1.2K | — Normal |
| 4 | SIEMENSTOP | 3698.8 | +1.35% | 3733.35 | 3579.2 | 3425.05 |
88.79%
|
8.61%
|
62.72 | 1.9K | ▲ Upper Walk |
| 5 | HAVELLSTOP | 1226.9 | +1.41% | 1229.78 | 1191.43 | 1153.09 |
96.24%
|
6.44%
|
61.81 | 10.66L | ▲ Upper Walk |
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.