| EFA | JIRE | EFA / JIRE | |
| Gain YTD | 30.526 | 30.713 | 99% |
| Net Assets | 69.8B | 9.72B | 718% |
| Total Expense Ratio | 0.32 | 0.24 | 133% |
| Turnover | 4.00 | 19.00 | 21% |
| Yield | 2.71 | 2.36 | 115% |
| Fund Existence | 24 years | 33 years | - |
| EFA | JIRE | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 73% | 3 days ago 70% |
| Momentum ODDS (%) | 3 days ago 87% | 3 days ago 87% |
| MACD ODDS (%) | 3 days ago 80% | 3 days ago 88% |
| TrendWeek ODDS (%) | 3 days ago 81% | 3 days ago 83% |
| TrendMonth ODDS (%) | 3 days ago 78% | 3 days ago 83% |
| Advances ODDS (%) | 3 days ago 83% | 3 days ago 87% |
| Declines ODDS (%) | 5 days ago 79% | 5 days ago 77% |
| BollingerBands ODDS (%) | 3 days ago 84% | 3 days ago 88% |
| Aroon ODDS (%) | 3 days ago 83% | 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 73% 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% | +0.62% | ||
| SAN - JIRE | 73% Closely correlated | +1.77% | ||
| BBVA - JIRE | 67% Closely correlated | +1.79% | ||
| BHP - JIRE | 67% Closely correlated | +0.64% | ||
| NWG - JIRE | 63% Loosely correlated | +0.72% | ||
| MT - JIRE | 63% Loosely correlated | +1.13% | ||
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