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 | LTTSTOP | 4290.1 | +2.57% | 4414.27 | 3670.93 | 2927.58 |
91.65%
|
40.5%
|
82.36 | 0 | ▲ Upper Walk |
| 2 | SIEMENSTOP | 3277.8 | -2.62% | 3945.28 | 3558.47 | 3171.65 |
13.72%
|
21.74%
|
33.55 | 0 | ▼ Lower Walk |
| 3 | BHELTOP | 387.6 | -3.57% | 466.03 | 422.1 | 378.17 |
10.73%
|
20.81%
|
33.93 | 1.07Cr | ▼ Lower Walk |
| 4 | ABBTOP | 6410.0 | -1.84% | 7235.01 | 6720.0 | 6204.99 |
19.9%
|
15.33%
|
41.05 | 0 | ▼ Lower Walk |
| 5 | HAVELLSTOP | 1011.8 | -0.8% | 1127.87 | 1055.82 | 983.76 |
19.46%
|
13.65%
|
44.0 | 0 | ▼ Lower 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.