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 | ICICIPRULITOP | 431.0 | +0.6% | 474.97 | 440.01 | 405.06 |
37.1%
|
15.89%
|
18.16 | 0 | — Normal |
| 2 | ICICIGITOP | 1574.0 | +0.07% | 1721.59 | 1626.23 | 1530.87 |
22.61%
|
11.73%
|
24.95 | 0 | — Normal |
| 3 | HDFCLIFETOP | 517.0 | +0.56% | 567.11 | 537.45 | 507.8 |
15.51%
|
11.04%
|
29.89 | 17.77L | ▼ Lower Walk |
| 4 | SBILIFETOP | 1652.0 | -0.88% | 1735.71 | 1672.83 | 1609.95 |
33.44%
|
7.52%
|
42.65 | 14.93L | — 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.