| EFV | IQDF | EFV / IQDF | |
| Gain YTD | 12.031 | 13.997 | 86% |
| Net Assets | 27.6B | 1.13B | 2,451% |
| Total Expense Ratio | 0.31 | 0.47 | 66% |
| Turnover | 3.90 | 61.00 | 6% |
| Yield | 4.78 | 3.04 | 157% |
| Fund Existence | 21 years | 13 years | - |
| EFV | IQDF | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 86% | 2 days ago 84% |
| Momentum ODDS (%) | 2 days ago 87% | 2 days ago 78% |
| MACD ODDS (%) | 2 days ago 74% | 2 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 78% | 2 days ago 77% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 72% |
| Advances ODDS (%) | 7 days ago 85% | 7 days ago 83% |
| Declines ODDS (%) | 2 days ago 79% | 2 days ago 79% |
| BollingerBands ODDS (%) | 2 days ago 82% | N/A |
| Aroon ODDS (%) | 2 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 73% 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% | -0.48% | ||
| BHP - IQDF | 73% Closely correlated | -0.19% | ||
| RIO - IQDF | 72% Closely correlated | -1.20% | ||
| ING - IQDF | 72% Closely correlated | -0.40% | ||
| SAN - IQDF | 71% Closely correlated | -1.70% | ||
| BMO - IQDF | 69% Closely correlated | -2.18% | ||
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