| EFA | JIRE | EFA / JIRE | |
| Gain YTD | 12.870 | 12.153 | 106% |
| Net Assets | 78B | 11B | 709% |
| Total Expense Ratio | 0.32 | 0.24 | 133% |
| Turnover | 4.00 | 25.00 | 16% |
| Yield | 3.14 | 2.65 | 118% |
| Fund Existence | 25 years | 34 years | - |
| EFA | JIRE | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 78% | 3 days ago 70% |
| Stochastic ODDS (%) | 1 day ago 84% | 1 day ago 83% |
| Momentum ODDS (%) | 1 day ago 78% | 1 day ago 73% |
| MACD ODDS (%) | 1 day ago 63% | 1 day ago 63% |
| TrendWeek ODDS (%) | 1 day ago 77% | 1 day ago 75% |
| TrendMonth ODDS (%) | 1 day ago 74% | 1 day ago 71% |
| Advances ODDS (%) | 9 days ago 84% | 9 days ago 88% |
| Declines ODDS (%) | 3 days ago 78% | 3 days ago 74% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 86% | 1 day ago 76% |
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% | +1.02% | ||
| SAN - JIRE | 76% Closely correlated | +2.26% | ||
| BBVA - JIRE | 73% Closely correlated | +2.46% | ||
| NWG - JIRE | 67% Closely correlated | +2.55% | ||
| BHP - JIRE | 65% Loosely correlated | -0.23% | ||
| RIO - JIRE | 64% Loosely correlated | +0.57% | ||
More | ||||