EFG | UMMA | EFG / UMMA | |
Gain YTD | -5.050 | -7.009 | 72% |
Net Assets | 11.4B | 117M | 9,744% |
Total Expense Ratio | 0.36 | 0.65 | 55% |
Turnover | 22.00 | 11.00 | 200% |
Yield | 1.59 | 0.91 | 175% |
Fund Existence | 20 years | 3 years | - |
EFG | UMMA | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago88% | 2 days ago84% |
Momentum ODDS (%) | 2 days ago77% | 2 days ago85% |
MACD ODDS (%) | N/A | 2 days ago83% |
TrendWeek ODDS (%) | 2 days ago80% | 2 days ago82% |
TrendMonth ODDS (%) | 2 days ago80% | 2 days ago82% |
Advances ODDS (%) | 4 days ago84% | 4 days ago84% |
Declines ODDS (%) | 2 days ago81% | 2 days ago82% |
BollingerBands ODDS (%) | 2 days ago88% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago77% | 2 days ago79% |
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 ASML. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if UMMA jumps, then ASML could also see price increases.
Ticker / NAME | Correlation To UMMA | 1D Price Change % | ||
---|---|---|---|---|
UMMA | 100% | -7.04% | ||
ASML - UMMA | 73% Closely correlated | -2.84% | ||
TSM - UMMA | 69% Closely correlated | -6.72% | ||
SAP - UMMA | 60% Loosely correlated | -5.99% | ||
BHP - UMMA | 58% Loosely correlated | -9.49% | ||
CP - UMMA | 56% Loosely correlated | -0.41% | ||
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