| DIA | PFM | DIA / PFM | |
| Gain YTD | 14.833 | 13.664 | 109% |
| Net Assets | 42.1B | 731M | 5,759% |
| Total Expense Ratio | 0.16 | 0.52 | 31% |
| Turnover | 3.00 | 7.00 | 43% |
| Yield | 1.42 | 1.42 | 100% |
| Fund Existence | 28 years | 20 years | - |
| DIA | PFM | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 80% | N/A |
| Stochastic ODDS (%) | 3 days ago 71% | 3 days ago 66% |
| Momentum ODDS (%) | 3 days ago 79% | 3 days ago 84% |
| MACD ODDS (%) | 3 days ago 85% | 3 days ago 85% |
| TrendWeek ODDS (%) | 3 days ago 84% | 3 days ago 83% |
| TrendMonth ODDS (%) | 3 days ago 82% | 3 days ago 81% |
| Advances ODDS (%) | 3 days ago 84% | 3 days ago 78% |
| Declines ODDS (%) | 11 days ago 77% | 11 days ago 70% |
| BollingerBands ODDS (%) | 3 days ago 70% | 4 days ago 90% |
| Aroon ODDS (%) | 3 days ago 88% | 3 days ago 83% |
A.I.dvisor indicates that over the last year, DIA has been closely correlated with AXP. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if DIA jumps, then AXP 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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