EFV | ICOW | EFV / ICOW | |
Gain YTD | 10.501 | 6.313 | 166% |
Net Assets | 20.5B | 1.1B | 1,859% |
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 (%) | 2 days ago64% | 2 days ago83% |
Stochastic ODDS (%) | 2 days ago81% | 2 days ago78% |
Momentum ODDS (%) | 2 days ago82% | 2 days ago78% |
MACD ODDS (%) | 2 days ago80% | 2 days ago68% |
TrendWeek ODDS (%) | 2 days ago78% | 2 days ago75% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago79% |
Advances ODDS (%) | 3 days ago84% | 17 days ago82% |
Declines ODDS (%) | 5 days ago80% | 2 days ago73% |
BollingerBands ODDS (%) | 2 days ago88% | 2 days ago86% |
Aroon ODDS (%) | 2 days ago80% | 2 days ago85% |
A.I.dvisor indicates that over the last year, EFV has been closely correlated with SAN. These tickers have moved in lockstep 70% 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% | -2.50% | ||
BHP - ICOW | 76% Closely correlated | -2.92% | ||
RIO - ICOW | 72% Closely correlated | -2.45% | ||
TTE - ICOW | 66% Loosely correlated | -3.59% | ||
CNQ - ICOW | 64% Loosely correlated | -5.03% | ||
MT - ICOW | 62% Loosely correlated | -7.29% | ||
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