| EFV | JPIN | EFV / JPIN | |
| Gain YTD | 17.551 | 15.020 | 117% |
| Net Assets | 31.9B | 380M | 8,395% |
| Total Expense Ratio | 0.31 | 0.37 | 84% |
| Turnover | 3.90 | 25.00 | 16% |
| Yield | 4.52 | 4.09 | 111% |
| Fund Existence | 21 years | 12 years | - |
| EFV | JPIN | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 79% | 1 day ago 67% |
| Stochastic ODDS (%) | 1 day ago 81% | 1 day ago 67% |
| Momentum ODDS (%) | 1 day ago 84% | 1 day ago 83% |
| MACD ODDS (%) | 1 day ago 75% | 1 day ago 86% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 80% |
| TrendMonth ODDS (%) | 1 day ago 81% | 1 day ago 78% |
| Advances ODDS (%) | 4 days ago 85% | 4 days ago 82% |
| Declines ODDS (%) | 1 day ago 77% | 1 day ago 77% |
| BollingerBands ODDS (%) | 1 day ago 76% | 1 day ago 74% |
| Aroon ODDS (%) | 1 day ago 83% | 1 day ago 78% |
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% | -0.25% | ||
| STM - JPIN | 74% Closely correlated | +3.38% | ||
| BHP - JPIN | 70% Closely correlated | +0.04% | ||
| RIO - JPIN | 68% Closely correlated | +0.08% | ||
| SAN - JPIN | 66% Closely correlated | -1.02% | ||
| NWG - JPIN | 60% Loosely correlated | -1.55% | ||
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