| EFV | JPIN | EFV / JPIN | |
| Gain YTD | 16.186 | 12.537 | 129% |
| Net Assets | 31.4B | 362M | 8,674% |
| Total Expense Ratio | 0.31 | 0.37 | 84% |
| Turnover | 3.90 | 25.00 | 16% |
| Yield | 4.47 | 3.98 | 112% |
| Fund Existence | 21 years | 12 years | - |
| EFV | JPIN | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 66% |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 77% |
| Momentum ODDS (%) | 2 days ago 72% | 2 days ago 71% |
| MACD ODDS (%) | 3 days ago 69% | 2 days ago 57% |
| TrendWeek ODDS (%) | 2 days ago 76% | 2 days ago 74% |
| TrendMonth ODDS (%) | 2 days ago 70% | 2 days ago 71% |
| Advances ODDS (%) | 17 days ago 86% | 17 days ago 83% |
| Declines ODDS (%) | 4 days ago 76% | 4 days ago 77% |
| BollingerBands ODDS (%) | 2 days ago 74% | 2 days ago 79% |
| Aroon ODDS (%) | 2 days ago 85% | 2 days ago 80% |
A.I.dvisor indicates that over the last year, EFV 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 EFV jumps, then SAN could also see price increases.
A.I.dvisor indicates that over the last year, JPIN has been closely correlated with STM. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if JPIN jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To JPIN | 1D Price Change % | ||
|---|---|---|---|---|
| JPIN | 100% | -1.34% | ||
| STM - JPIN | 74% Closely correlated | +3.23% | ||
| BHP - JPIN | 69% Closely correlated | -0.34% | ||
| RIO - JPIN | 69% Closely correlated | -0.68% | ||
| SAN - JPIN | 67% Closely correlated | -3.44% | ||
| NWG - JPIN | 61% Loosely correlated | -1.43% | ||
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