| EFG | UMMA | EFG / UMMA | |
| Gain YTD | 16.219 | 19.067 | 85% |
| Net Assets | 9.44B | 167M | 5,653% |
| Total Expense Ratio | 0.36 | 0.65 | 55% |
| Turnover | 23.00 | 15.00 | 153% |
| Yield | 1.53 | 1.06 | 145% |
| Fund Existence | 20 years | 4 years | - |
| EFG | UMMA | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | N/A |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 89% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 71% |
| MACD ODDS (%) | 2 days ago 87% | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 79% | 2 days ago 81% |
| Advances ODDS (%) | 8 days ago 82% | 8 days ago 85% |
| Declines ODDS (%) | 2 days ago 82% | 2 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 89% |
| Aroon ODDS (%) | 2 days ago 82% | 2 days ago 89% |
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, UMMA has been closely correlated with TSM. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if UMMA jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To UMMA | 1D Price Change % | ||
|---|---|---|---|---|
| UMMA | 100% | -0.99% | ||
| TSM - UMMA | 78% Closely correlated | -1.45% | ||
| ASML - UMMA | 70% Closely correlated | -1.56% | ||
| CRH - UMMA | 62% Loosely correlated | -0.34% | ||
| SAN - UMMA | 59% Loosely correlated | -2.21% | ||
| BHP - UMMA | 59% Loosely correlated | -1.61% | ||
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