EFG | FICS | EFG / FICS | |
Gain YTD | 15.062 | 14.911 | 101% |
Net Assets | 12.9B | 224M | 5,759% |
Total Expense Ratio | 0.36 | 0.70 | 51% |
Turnover | 22.00 | 58.00 | 38% |
Yield | 1.65 | 2.39 | 69% |
Fund Existence | 20 years | 5 years | - |
EFG | FICS | |
---|---|---|
RSI ODDS (%) | 2 days ago86% | N/A |
Stochastic ODDS (%) | 2 days ago81% | 2 days ago87% |
Momentum ODDS (%) | 2 days ago77% | 2 days ago70% |
MACD ODDS (%) | 2 days ago79% | 2 days ago74% |
TrendWeek ODDS (%) | 2 days ago84% | 2 days ago81% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago74% |
Advances ODDS (%) | 2 days ago83% | 5 days ago82% |
Declines ODDS (%) | 9 days ago82% | 13 days ago81% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago89% |
Aroon ODDS (%) | 2 days ago84% | 2 days ago76% |
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% | -0.85% | ||
SLF - FICS | 67% Closely correlated | -8.05% | ||
BMO - FICS | 64% Loosely correlated | +0.26% | ||
TD - FICS | 62% Loosely correlated | +0.51% | ||
SAN - FICS | 59% Loosely correlated | +2.53% | ||
BHP - FICS | 58% Loosely correlated | +1.44% | ||
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