EFG | SPWO | EFG / SPWO | |
Gain YTD | 11.954 | 7.303 | 164% |
Net Assets | 12.7B | 53.8M | 23,606% |
Total Expense Ratio | 0.36 | 0.55 | 65% |
Turnover | 22.00 | 30.00 | 73% |
Yield | 1.44 | 1.32 | 109% |
Fund Existence | 20 years | 2 years | - |
EFG | SPWO | |
---|---|---|
RSI ODDS (%) | 1 day ago81% | 1 day ago57% |
Stochastic ODDS (%) | 1 day ago85% | 1 day ago88% |
Momentum ODDS (%) | 1 day ago85% | 1 day ago86% |
MACD ODDS (%) | 1 day ago77% | 1 day ago67% |
TrendWeek ODDS (%) | 1 day ago82% | 1 day ago76% |
TrendMonth ODDS (%) | 1 day ago79% | 1 day ago72% |
Advances ODDS (%) | 20 days ago83% | 10 days ago90% |
Declines ODDS (%) | about 1 month ago82% | 1 day ago75% |
BollingerBands ODDS (%) | 1 day ago88% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago85% | 1 day ago89% |
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, SPWO has been closely correlated with TSM. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPWO jumps, then TSM could also see price increases.
Ticker / NAME | Correlation To SPWO | 1D Price Change % | ||
---|---|---|---|---|
SPWO | 100% | -1.21% | ||
TSM - SPWO | 80% Closely correlated | -1.87% | ||
SCCO - SPWO | 73% Closely correlated | -1.88% | ||
ASML - SPWO | 72% Closely correlated | -0.67% | ||
BHP - SPWO | 70% Closely correlated | -3.11% | ||
ARM - SPWO | 67% Closely correlated | -0.69% | ||
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