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 | ICICIGITOP | 1681.0 | +1.16% | 1884.96 | 1722.74 | 1560.52 |
37.13%
|
18.83%
|
37.93 | 9.04L | — Normal |
| 2 | ICICIPRULITOP | 509.8 | +1.85% | 521.85 | 499.06 | 476.27 |
73.56%
|
9.13%
|
58.51 | 19.12L | — Normal |
| 3 | SBILIFETOP | 1866.8 | +0.44% | 1885.03 | 1823.77 | 1762.51 |
85.12%
|
6.72%
|
55.62 | 10.99L | ▲ Upper Walk |
| 4 | HDFCLIFETOP | 552.85 | -0.4% | 578.86 | 563.15 | 547.43 |
17.24%
|
5.58%
|
40.2 | 13.69L | ▼ 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.