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 | 1619.9 | +2.3% | 1898.14 | 1734.68 | 1571.23 |
14.89%
|
18.85%
|
32.07 | 33.6K | ▼ Lower Walk |
| 2 | ICICIPRULITOP | 501.5 | +0.4% | 520.33 | 497.57 | 474.81 |
58.63%
|
9.15%
|
56.68 | 14.90L | — Normal |
| 3 | SBILIFETOP | 1853.5 | +2.59% | 1881.89 | 1812.52 | 1743.14 |
79.54%
|
7.66%
|
59.55 | 9.12L | — Normal |
| 4 | HDFCLIFETOP | 550.95 | -0.39% | 585.06 | 566.19 | 547.32 |
9.62%
|
6.67%
|
42.06 | 23.00L | ▼ 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.