| EFG | SPWO | EFG / SPWO | |
| Gain YTD | 21.856 | 26.441 | 83% |
| Net Assets | 9.77B | 81.7M | 11,958% |
| Total Expense Ratio | 0.36 | 0.55 | 65% |
| Turnover | 22.00 | 30.00 | 73% |
| Yield | 1.55 | 1.15 | 134% |
| Fund Existence | 20 years | 2 years | - |
| EFG | SPWO | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 77% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 83% | 4 days ago 68% |
| Momentum ODDS (%) | 4 days ago 83% | 4 days ago 89% |
| MACD ODDS (%) | 4 days ago 85% | 4 days ago 80% |
| TrendWeek ODDS (%) | 4 days ago 84% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 80% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 82% | 4 days ago 90% |
| Declines ODDS (%) | 6 days ago 82% | 6 days ago 72% |
| BollingerBands ODDS (%) | 4 days ago 80% | 4 days ago 77% |
| Aroon ODDS (%) | 4 days ago 83% | 4 days ago 90% |
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 69% 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% | +0.55% | ||
| TSM - SPWO | 69% Closely correlated | +1.45% | ||
| ARM - SPWO | 64% Loosely correlated | +2.45% | ||
| ASML - SPWO | 64% Loosely correlated | -0.32% | ||
| BHP - SPWO | 53% Loosely correlated | +0.60% | ||
| SAP - SPWO | 50% Loosely correlated | -3.22% | ||
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