EFG | FICS | EFG / FICS | |
Gain YTD | 1.818 | 0.781 | 233% |
Net Assets | 15.5B | 162M | 9,568% |
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 (%) | 11 days ago90% | 11 days ago85% |
Stochastic ODDS (%) | 11 days ago76% | 11 days ago78% |
Momentum ODDS (%) | 11 days ago85% | 11 days ago75% |
MACD ODDS (%) | 11 days ago87% | 11 days ago79% |
TrendWeek ODDS (%) | 11 days ago83% | 11 days ago80% |
TrendMonth ODDS (%) | 11 days ago80% | 11 days ago75% |
Advances ODDS (%) | 13 days ago82% | 13 days ago82% |
Declines ODDS (%) | 11 days ago82% | 11 days ago82% |
BollingerBands ODDS (%) | N/A | N/A |
Aroon ODDS (%) | N/A | 11 days ago74% |
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% | +0.44% | ||
SLF - FICS | 67% Closely correlated | -0.25% | ||
BMO - FICS | 64% Loosely correlated | -0.13% | ||
TD - FICS | 62% Loosely correlated | +3.96% | ||
SAN - FICS | 59% Loosely correlated | N/A | ||
BHP - FICS | 58% Loosely correlated | +1.07% | ||
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