EFV | IQDF | EFV / IQDF | |
Gain YTD | 32.618 | 26.937 | 121% |
Net Assets | 27B | 835M | 3,234% |
Total Expense Ratio | 0.33 | 0.47 | 70% |
Turnover | 28.00 | 51.00 | 55% |
Yield | 3.34 | 6.23 | 54% |
Fund Existence | 20 years | 13 years | - |
EFV | IQDF | |
---|---|---|
RSI ODDS (%) | N/A | 1 day ago63% |
Stochastic ODDS (%) | 1 day ago74% | 1 day ago68% |
Momentum ODDS (%) | 1 day ago82% | 1 day ago88% |
MACD ODDS (%) | 1 day ago89% | 1 day ago90% |
TrendWeek ODDS (%) | 1 day ago83% | 1 day ago81% |
TrendMonth ODDS (%) | 1 day ago80% | 1 day ago78% |
Advances ODDS (%) | 8 days ago85% | 3 days ago81% |
Declines ODDS (%) | 1 day ago78% | 14 days ago79% |
BollingerBands ODDS (%) | 1 day ago76% | 1 day ago84% |
Aroon ODDS (%) | 1 day ago81% | 1 day ago77% |
A.I.dvisor indicates that over the last year, EFV has been closely correlated with SAN. These tickers have moved in lockstep 74% 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 ING. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if IQDF jumps, then ING could also see price increases.
Ticker / NAME | Correlation To IQDF | 1D Price Change % | ||
---|---|---|---|---|
IQDF | 100% | -0.92% | ||
ING - IQDF | 72% Closely correlated | -3.32% | ||
BHP - IQDF | 69% Closely correlated | -1.38% | ||
BMO - IQDF | 69% Closely correlated | -0.44% | ||
SAN - IQDF | 66% Loosely correlated | -1.38% | ||
RIO - IQDF | 63% Loosely correlated | -1.09% | ||
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