| EFG | FICS | EFG / FICS | |
| Gain YTD | 18.367 | 16.496 | 111% |
| Net Assets | 9.4B | 216M | 4,350% |
| Total Expense Ratio | 0.36 | 0.70 | 51% |
| Turnover | 22.00 | 59.00 | 37% |
| Yield | 1.55 | 2.29 | 68% |
| Fund Existence | 20 years | 5 years | - |
| EFG | FICS | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 86% | 7 days ago 73% |
| Stochastic ODDS (%) | 7 days ago 78% | 7 days ago 69% |
| Momentum ODDS (%) | 7 days ago 78% | 7 days ago 78% |
| MACD ODDS (%) | 7 days ago 80% | 7 days ago 77% |
| TrendWeek ODDS (%) | 7 days ago 82% | 7 days ago 80% |
| TrendMonth ODDS (%) | 7 days ago 79% | 7 days ago 76% |
| Advances ODDS (%) | 7 days ago 81% | 7 days ago 81% |
| Declines ODDS (%) | 15 days ago 82% | 15 days ago 81% |
| BollingerBands ODDS (%) | 7 days ago 90% | 7 days ago 88% |
| Aroon ODDS (%) | 7 days ago 76% | 7 days ago 81% |
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% | -0.03% | ||
| SLF - FICS | 67% Closely correlated | -0.21% | ||
| BMO - FICS | 64% Loosely correlated | +1.26% | ||
| TD - FICS | 62% Loosely correlated | +1.25% | ||
| SAN - FICS | 59% Loosely correlated | +1.71% | ||
| GSK - FICS | 56% Loosely correlated | +2.34% | ||
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