EFV | IQDF | EFV / IQDF | |
Gain YTD | 30.710 | 24.140 | 127% |
Net Assets | 27.7B | 789M | 3,511% |
Total Expense Ratio | 0.33 | 0.47 | 70% |
Turnover | 28.00 | 51.00 | 55% |
Yield | 3.40 | 6.09 | 56% |
Fund Existence | 20 years | 12 years | - |
EFV | IQDF | |
---|---|---|
RSI ODDS (%) | 2 days ago77% | 2 days ago72% |
Stochastic ODDS (%) | 2 days ago86% | 2 days ago78% |
Momentum ODDS (%) | 2 days ago80% | 2 days ago72% |
MACD ODDS (%) | 2 days ago87% | 2 days ago66% |
TrendWeek ODDS (%) | 2 days ago76% | 2 days ago77% |
TrendMonth ODDS (%) | 2 days ago80% | 2 days ago78% |
Advances ODDS (%) | 2 days ago84% | 2 days ago81% |
Declines ODDS (%) | 4 days ago79% | 5 days ago80% |
BollingerBands ODDS (%) | N/A | 2 days ago84% |
Aroon ODDS (%) | 2 days ago81% | 2 days ago79% |
A.I.dvisor indicates that over the last year, EFV has been closely correlated with SAN. These tickers have moved in lockstep 75% 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 75% 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% | +0.53% | ||
BHP - IQDF | 75% Closely correlated | +0.07% | ||
ING - IQDF | 72% Closely correlated | -1.03% | ||
BMO - IQDF | 69% Closely correlated | +0.73% | ||
RIO - IQDF | 69% Closely correlated | +2.42% | ||
SAN - IQDF | 68% Closely correlated | -0.52% | ||
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