EFV | ICOW | EFV / ICOW | |
Gain YTD | 30.710 | 25.293 | 121% |
Net Assets | 27.7B | 1.24B | 2,239% |
Total Expense Ratio | 0.33 | 0.65 | 51% |
Turnover | 28.00 | 79.00 | 35% |
Yield | 3.40 | 2.07 | 164% |
Fund Existence | 20 years | 8 years | - |
EFV | ICOW | |
---|---|---|
RSI ODDS (%) | 1 day ago77% | 1 day ago76% |
Stochastic ODDS (%) | 1 day ago86% | 1 day ago73% |
Momentum ODDS (%) | 1 day ago80% | 1 day ago82% |
MACD ODDS (%) | 1 day ago87% | 1 day ago74% |
TrendWeek ODDS (%) | 1 day ago76% | 1 day ago83% |
TrendMonth ODDS (%) | 1 day ago80% | 1 day ago80% |
Advances ODDS (%) | 1 day ago84% | 1 day ago82% |
Declines ODDS (%) | 4 days ago79% | 4 days ago72% |
BollingerBands ODDS (%) | N/A | 1 day ago67% |
Aroon ODDS (%) | 1 day ago81% | 1 day ago81% |
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, ICOW has been closely correlated with BHP. These tickers have moved in lockstep 71% 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% | +0.42% | ||
BHP - ICOW | 71% Closely correlated | +0.07% | ||
MT - ICOW | 70% Closely correlated | +2.98% | ||
SHEL - ICOW | 68% Closely correlated | -0.98% | ||
TTE - ICOW | 68% Closely correlated | -0.96% | ||
RIO - ICOW | 67% Closely correlated | +2.42% | ||
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