| EFA | JHMD | EFA / JHMD | |
| Gain YTD | 10.627 | 9.487 | 112% |
| Net Assets | 78B | 972M | 8,025% |
| Total Expense Ratio | 0.32 | 0.39 | 82% |
| Turnover | 4.00 | 25.00 | 16% |
| Yield | 3.10 | 2.93 | 106% |
| Fund Existence | 25 years | 10 years | - |
| EFA | JHMD | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 73% | 2 days ago 76% |
| Momentum ODDS (%) | 2 days ago 85% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 79% | 2 days ago 81% |
| Advances ODDS (%) | 2 days ago 83% | 2 days ago 86% |
| Declines ODDS (%) | 27 days ago 81% | 27 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 82% | 2 days ago 87% |
A.I.dvisor indicates that over the last year, EFA has been closely correlated with STM. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if EFA jumps, then STM could also see price increases.
A.I.dvisor indicates that over the last year, JHMD has been closely correlated with SAN. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if JHMD jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To JHMD | 1D Price Change % | ||
|---|---|---|---|---|
| JHMD | 100% | +0.18% | ||
| SAN - JHMD | 74% Closely correlated | +1.56% | ||
| STM - JHMD | 74% Closely correlated | +1.94% | ||
| MT - JHMD | 71% Closely correlated | +0.54% | ||
| FER - JHMD | 69% Closely correlated | +2.20% | ||
| BBVA - JHMD | 69% Closely correlated | +1.51% | ||
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