| EFG | FICS | EFG / FICS | |
| Gain YTD | 4.363 | 0.874 | 499% |
| Net Assets | 9.79B | 221M | 4,430% |
| Total Expense Ratio | 0.34 | 0.70 | 49% |
| Turnover | 23.00 | 51.00 | 45% |
| Yield | 2.53 | 1.84 | 137% |
| Fund Existence | 20 years | 5 years | - |
| EFG | FICS | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 80% | 1 day ago 78% |
| Stochastic ODDS (%) | 1 day ago 83% | 1 day ago 71% |
| Momentum ODDS (%) | 1 day ago 81% | N/A |
| MACD ODDS (%) | 14 days ago 82% | 1 day ago 79% |
| TrendWeek ODDS (%) | 1 day ago 81% | 1 day ago 80% |
| TrendMonth ODDS (%) | 1 day ago 78% | 1 day ago 76% |
| Advances ODDS (%) | 4 days ago 80% | 24 days ago 81% |
| Declines ODDS (%) | 1 day ago 83% | 14 days ago 81% |
| BollingerBands ODDS (%) | 1 day ago 75% | 1 day ago 68% |
| Aroon ODDS (%) | 1 day ago 84% | 1 day ago 75% |
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% | +0.52% | ||
| SLF - FICS | 67% Closely correlated | +0.86% | ||
| BMO - FICS | 64% Loosely correlated | +0.78% | ||
| TD - FICS | 62% Loosely correlated | -0.21% | ||
| SAN - FICS | 59% Loosely correlated | +0.25% | ||
| GSK - FICS | 56% Loosely correlated | +1.78% | ||
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