| EFV | ICOW | EFV / ICOW | |
| Gain YTD | 18.213 | 19.119 | 95% |
| Net Assets | 31.7B | 1.88B | 1,688% |
| Total Expense Ratio | 0.31 | 0.65 | 48% |
| Turnover | 3.90 | 74.00 | 5% |
| Yield | 4.52 | 2.23 | 203% |
| Fund Existence | 21 years | 9 years | - |
| EFV | ICOW | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 77% | 3 days ago 85% |
| Stochastic ODDS (%) | 3 days ago 89% | 3 days ago 75% |
| Momentum ODDS (%) | 3 days ago 73% | 4 days ago 85% |
| MACD ODDS (%) | 3 days ago 75% | N/A |
| TrendWeek ODDS (%) | 3 days ago 83% | 3 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 81% | 3 days ago 82% |
| Advances ODDS (%) | 10 days ago 86% | 3 days ago 85% |
| Declines ODDS (%) | 6 days ago 77% | 6 days ago 73% |
| BollingerBands ODDS (%) | 3 days ago 86% | 3 days ago 80% |
| Aroon ODDS (%) | 3 days ago 82% | 3 days ago 83% |
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, ICOW has been closely correlated with BHP. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOW jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To ICOW | 1D Price Change % | ||
|---|---|---|---|---|
| ICOW | 100% | +0.55% | ||
| BHP - ICOW | 67% Closely correlated | +3.63% | ||
| RIO - ICOW | 67% Closely correlated | +3.06% | ||
| MT - ICOW | 64% Loosely correlated | +1.53% | ||
| NTR - ICOW | 57% Loosely correlated | +2.94% | ||
| STLA - ICOW | 54% Loosely correlated | +2.85% | ||
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