| EFV | IQDF | EFV / IQDF | |
| Gain YTD | 17.192 | 19.249 | 89% |
| Net Assets | 31.4B | 1.17B | 2,679% |
| Total Expense Ratio | 0.31 | 0.47 | 66% |
| Turnover | 3.90 | 27.00 | 14% |
| Yield | 4.52 | 2.98 | 152% |
| Fund Existence | 21 years | 13 years | - |
| EFV | IQDF | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 70% | N/A |
| Stochastic ODDS (%) | 3 days ago 81% | 3 days ago 81% |
| Momentum ODDS (%) | 3 days ago 85% | 3 days ago 73% |
| MACD ODDS (%) | 3 days ago 79% | 3 days ago 81% |
| TrendWeek ODDS (%) | 3 days ago 76% | 3 days ago 77% |
| TrendMonth ODDS (%) | 3 days ago 81% | 3 days ago 81% |
| Advances ODDS (%) | 7 days ago 86% | 8 days ago 83% |
| Declines ODDS (%) | 3 days ago 77% | 15 days ago 78% |
| BollingerBands ODDS (%) | 3 days ago 78% | 3 days ago 76% |
| Aroon ODDS (%) | 3 days ago 82% | N/A |
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, IQDF has been closely correlated with BHP. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if IQDF jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To IQDF | 1D Price Change % | ||
|---|---|---|---|---|
| IQDF | 100% | +1.09% | ||
| BHP - IQDF | 74% Closely correlated | +3.59% | ||
| ING - IQDF | 72% Closely correlated | -2.25% | ||
| RIO - IQDF | 72% Closely correlated | +3.88% | ||
| SAN - IQDF | 71% Closely correlated | -0.49% | ||
| BMO - IQDF | 69% Closely correlated | -3.75% | ||
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