EFV | ICOW | EFV / ICOW | |
Gain YTD | 14.980 | 9.041 | 166% |
Net Assets | 20.4B | 1.03B | 1,973% |
Total Expense Ratio | 0.33 | 0.65 | 51% |
Turnover | 28.00 | 67.00 | 42% |
Yield | 4.15 | 4.70 | 88% |
Fund Existence | 20 years | 8 years | - |
EFV | ICOW | |
---|---|---|
RSI ODDS (%) | 1 day ago90% | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago73% | 1 day ago73% |
Momentum ODDS (%) | 1 day ago81% | 1 day ago85% |
MACD ODDS (%) | 1 day ago85% | 1 day ago85% |
TrendWeek ODDS (%) | 1 day ago81% | 1 day ago82% |
TrendMonth ODDS (%) | 1 day ago78% | 1 day ago72% |
Advances ODDS (%) | 1 day ago83% | 1 day ago81% |
Declines ODDS (%) | 18 days ago80% | 18 days ago73% |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago76% | 1 day ago75% |
A.I.dvisor indicates that over the last year, EFV has been closely correlated with SAN. These tickers have moved in lockstep 76% 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 76% 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% | +0.64% | ||
BHP - ICOW | 76% Closely correlated | +1.92% | ||
RIO - ICOW | 72% Closely correlated | +2.48% | ||
WDS - ICOW | 72% Closely correlated | +0.55% | ||
SHEL - ICOW | 71% Closely correlated | +0.84% | ||
TTE - ICOW | 66% Loosely correlated | +0.99% | ||
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