EFG | FICS | EFG / FICS | |
Gain YTD | 20.881 | 16.487 | 127% |
Net Assets | 9.62B | 218M | 4,414% |
Total Expense Ratio | 0.36 | 0.70 | 51% |
Turnover | 22.00 | 59.00 | 37% |
Yield | 1.55 | 2.36 | 66% |
Fund Existence | 20 years | 5 years | - |
EFG | FICS | |
---|---|---|
RSI ODDS (%) | 2 days ago84% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago78% | 2 days ago66% |
Momentum ODDS (%) | 2 days ago81% | 2 days ago83% |
MACD ODDS (%) | 2 days ago78% | 2 days ago83% |
TrendWeek ODDS (%) | 2 days ago83% | 2 days ago80% |
TrendMonth ODDS (%) | 2 days ago80% | 2 days ago76% |
Advances ODDS (%) | 2 days ago82% | 2 days ago81% |
Declines ODDS (%) | 8 days ago82% | 8 days ago81% |
BollingerBands ODDS (%) | 2 days ago89% | 2 days ago82% |
Aroon ODDS (%) | 2 days ago86% | 2 days ago70% |
A.I.dvisor indicates that over the last year, EFG has been closely correlated with STM. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if EFG jumps, then STM could also see price increases.
A.I.dvisor indicates that over the last year, FICS has been closely correlated with SLF. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if FICS jumps, then SLF could also see price increases.
Ticker / NAME | Correlation To FICS | 1D Price Change % | ||
---|---|---|---|---|
FICS | 100% | +0.22% | ||
SLF - FICS | 67% Closely correlated | -1.95% | ||
BMO - FICS | 64% Loosely correlated | -2.78% | ||
TD - FICS | 62% Loosely correlated | -2.08% | ||
SAN - FICS | 59% Loosely correlated | +0.30% | ||
GSK - FICS | 57% Loosely correlated | -0.02% | ||
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