EFG | FICS | EFG / FICS | |
Gain YTD | 5.554 | 5.438 | 102% |
Net Assets | 15.7B | 160M | 9,813% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 19.00 | 59.00 | 32% |
Yield | 1.52 | 0.98 | 154% |
Fund Existence | 19 years | 4 years | - |
EFG | FICS | |
---|---|---|
RSI ODDS (%) | 2 days ago76% | N/A |
Stochastic ODDS (%) | 2 days ago76% | 2 days ago80% |
Momentum ODDS (%) | 2 days ago83% | 2 days ago78% |
MACD ODDS (%) | 2 days ago78% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago81% | 2 days ago79% |
TrendMonth ODDS (%) | 2 days ago81% | 2 days ago76% |
Advances ODDS (%) | 2 days ago82% | 14 days ago81% |
Declines ODDS (%) | 6 days ago81% | 2 days ago82% |
BollingerBands ODDS (%) | 2 days ago86% | 2 days ago89% |
Aroon ODDS (%) | 2 days ago79% | 2 days ago63% |
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% | -0.31% | ||
SLF - FICS | 67% Closely correlated | -0.90% | ||
BMO - FICS | 64% Loosely correlated | -0.46% | ||
TD - FICS | 62% Loosely correlated | -1.04% | ||
SAN - FICS | 59% Loosely correlated | -4.30% | ||
BHP - FICS | 58% Loosely correlated | -0.22% | ||
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