| IEV | SPEU | IEV / SPEU | |
| Gain YTD | 8.484 | 7.967 | 106% |
| Net Assets | 1.62B | 721M | 225% |
| Total Expense Ratio | 0.60 | 0.07 | 857% |
| Turnover | 4.00 | 5.00 | 80% |
| Yield | 2.71 | 3.32 | 82% |
| Fund Existence | 26 years | 24 years | - |
| IEV | SPEU | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 71% | 2 days ago 72% |
| MACD ODDS (%) | 5 days ago 77% | 5 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 76% | 2 days ago 75% |
| Advances ODDS (%) | 20 days ago 81% | 19 days ago 83% |
| Declines ODDS (%) | 7 days ago 76% | 7 days ago 77% |
| BollingerBands ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 86% |
A.I.dvisor indicates that over the last year, IEV has been closely correlated with STM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if IEV jumps, then STM could also see price increases.
A.I.dvisor indicates that over the last year, SPEU has been closely correlated with SAN. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPEU jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To SPEU | 1D Price Change % | ||
|---|---|---|---|---|
| SPEU | 100% | +0.53% | ||
| SAN - SPEU | 77% Closely correlated | +2.17% | ||
| BBVA - SPEU | 74% Closely correlated | +1.94% | ||
| NWG - SPEU | 68% Closely correlated | +1.50% | ||
| ASML - SPEU | 60% Loosely correlated | +1.87% | ||
| BN - SPEU | 56% Loosely correlated | +1.25% | ||
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