| IVE | PFM | IVE / PFM | |
| Gain YTD | 11.418 | 13.664 | 84% |
| Net Assets | 42.9B | 731M | 5,869% |
| Total Expense Ratio | 0.18 | 0.52 | 35% |
| Turnover | 32.00 | 7.00 | 457% |
| Yield | 1.67 | 1.42 | 118% |
| Fund Existence | 26 years | 20 years | - |
| IVE | PFM | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 66% | N/A |
| Stochastic ODDS (%) | 1 day ago 69% | 3 days ago 66% |
| Momentum ODDS (%) | 1 day ago 84% | 3 days ago 84% |
| MACD ODDS (%) | 1 day ago 85% | 3 days ago 85% |
| TrendWeek ODDS (%) | 1 day ago 84% | 3 days ago 83% |
| TrendMonth ODDS (%) | 1 day ago 83% | 3 days ago 81% |
| Advances ODDS (%) | 3 days ago 83% | 3 days ago 78% |
| Declines ODDS (%) | 11 days ago 71% | 11 days ago 70% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Aroon ODDS (%) | 1 day ago 86% | 3 days ago 83% |
A.I.dvisor indicates that over the last year, IVE has been closely correlated with PFG. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if IVE jumps, then PFG could also see price increases.
A.I.dvisor indicates that over the last year, PFM has been closely correlated with SEIC. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if PFM jumps, then SEIC could also see price increases.
| Ticker / NAME | Correlation To PFM | 1D Price Change % | ||
|---|---|---|---|---|
| PFM | 100% | +0.46% | ||
| SEIC - PFM | 81% Closely correlated | +0.18% | ||
| PFG - PFM | 80% Closely correlated | +1.04% | ||
| MET - PFM | 80% Closely correlated | +3.11% | ||
| MCO - PFM | 79% Closely correlated | -0.44% | ||
| TROW - PFM | 79% Closely correlated | +1.06% | ||
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