| EFA | JIRE | EFA / JIRE | |
| Gain YTD | 9.305 | 9.308 | 100% |
| Net Assets | 76.4B | 11B | 695% |
| Total Expense Ratio | 0.32 | 0.24 | 133% |
| Turnover | 4.00 | 25.00 | 16% |
| Yield | 3.24 | 2.71 | 119% |
| Fund Existence | 25 years | 34 years | - |
| EFA | JIRE | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 3 days ago 78% | 3 days ago 71% |
| Momentum ODDS (%) | 3 days ago 85% | 3 days ago 84% |
| MACD ODDS (%) | 3 days ago 78% | 3 days ago 86% |
| TrendWeek ODDS (%) | 3 days ago 79% | 3 days ago 77% |
| TrendMonth ODDS (%) | 3 days ago 74% | 3 days ago 71% |
| Advances ODDS (%) | 5 days ago 84% | 5 days ago 88% |
| Declines ODDS (%) | 3 days ago 80% | 3 days ago 76% |
| BollingerBands ODDS (%) | 6 days ago 84% | 3 days ago 68% |
| Aroon ODDS (%) | 3 days ago 79% | 3 days ago 85% |
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, JIRE has been closely correlated with SAN. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if JIRE jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To JIRE | 1D Price Change % | ||
|---|---|---|---|---|
| JIRE | 100% | -0.53% | ||
| SAN - JIRE | 76% Closely correlated | -0.51% | ||
| BBVA - JIRE | 69% Closely correlated | -2.18% | ||
| BHP - JIRE | 65% Loosely correlated | -0.09% | ||
| NWG - JIRE | 65% Loosely correlated | +0.50% | ||
| RIO - JIRE | 63% Loosely correlated | -0.57% | ||
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