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 | HDFCLIFETOP | 631.5 | -1.4% | 651.95 | 620.29 | 588.62 |
67.7%
|
10.21%
|
79.19 | 30.23L | — Normal |
| 2 | ICICIGITOP | 1886.7 | +1.28% | 1888.3 | 1810.87 | 1733.43 |
99.0%
|
8.55%
|
92.71 | 11.96L | ▲ Upper Walk |
| 3 | SBILIFETOP | 1974.7 | +0.27% | 1988.46 | 1936.43 | 1884.4 |
86.8%
|
5.37%
|
85.52 | 6.42L | ▲ Upper Walk |
| 4 | ICICIPRULITOP | 557.95 | -0.76% | 565.58 | 551.47 | 537.36 |
73.0%
|
5.12%
|
76.64 | 30.16L | — 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.