EFG | UMMA | EFG / UMMA | |
Gain YTD | 13.518 | 9.267 | 146% |
Net Assets | 12.7B | 152M | 8,355% |
Total Expense Ratio | 0.36 | 0.65 | 55% |
Turnover | 22.00 | 11.00 | 200% |
Yield | 1.65 | 0.84 | 197% |
Fund Existence | 20 years | 4 years | - |
EFG | UMMA | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago85% | 2 days ago83% |
Momentum ODDS (%) | 2 days ago84% | 2 days ago82% |
MACD ODDS (%) | 2 days ago90% | 2 days ago81% |
TrendWeek ODDS (%) | 2 days ago82% | 2 days ago82% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago82% |
Advances ODDS (%) | 16 days ago82% | 17 days ago84% |
Declines ODDS (%) | 7 days ago82% | 2 days ago81% |
BollingerBands ODDS (%) | 2 days ago88% | 2 days ago85% |
Aroon ODDS (%) | 2 days ago85% | 2 days ago86% |
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% | -0.33% | ||
TSM - UMMA | 78% Closely correlated | -0.47% | ||
ASML - UMMA | 73% Closely correlated | +0.19% | ||
SAP - UMMA | 66% Loosely correlated | +2.31% | ||
BHP - UMMA | 65% Loosely correlated | +0.80% | ||
CRH - UMMA | 62% Loosely correlated | -0.36% | ||
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