| DAX | EWP | DAX / EWP | |
| Gain YTD | -0.756 | 11.079 | -7% |
| Net Assets | 240M | 1.97B | 12% |
| Total Expense Ratio | 0.20 | 0.50 | 40% |
| Turnover | 8.14 | 29.00 | 28% |
| Yield | 2.13 | 2.81 | 76% |
| Fund Existence | 12 years | 30 years | - |
| DAX | EWP | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 84% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 79% |
| Momentum ODDS (%) | 1 day ago 82% | 1 day ago 86% |
| MACD ODDS (%) | 1 day ago 87% | 1 day ago 73% |
| TrendWeek ODDS (%) | 1 day ago 81% | 1 day ago 77% |
| TrendMonth ODDS (%) | 1 day ago 78% | 1 day ago 88% |
| Advances ODDS (%) | 4 days ago 80% | 4 days ago 90% |
| Declines ODDS (%) | 20 days ago 83% | 6 days ago 81% |
| BollingerBands ODDS (%) | 1 day ago 81% | 1 day ago 84% |
| Aroon ODDS (%) | 1 day ago 80% | 1 day ago 87% |
A.I.dvisor indicates that over the last year, DAX has been loosely correlated with LIN. These tickers have moved in lockstep 40% of the time. This A.I.-generated data suggests there is some statistical probability that if DAX jumps, then LIN could also see price increases.
A.I.dvisor indicates that over the last year, EWP has been closely correlated with SAN. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if EWP jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To EWP | 1D Price Change % | ||
|---|---|---|---|---|
| EWP | 100% | -0.86% | ||
| SAN - EWP | 89% Closely correlated | -1.51% | ||
| BBVA - EWP | 84% Closely correlated | -1.17% | ||
| FER - EWP | -1% Poorly correlated | -0.90% | ||
| AMS - EWP | -6% Poorly correlated | -0.67% |