| EFG | SPWO | EFG / SPWO | |
| Gain YTD | 6.605 | 19.382 | 34% |
| Net Assets | 16.7B | 195M | 8,564% |
| Total Expense Ratio | 0.34 | 0.55 | 62% |
| Turnover | 23.00 | 39.00 | 59% |
| Yield | 2.24 | 1.03 | 218% |
| Fund Existence | 21 years | 3 years | - |
| EFG | SPWO | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 87% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 78% |
| MACD ODDS (%) | 1 day ago 79% | 1 day ago 76% |
| TrendWeek ODDS (%) | 1 day ago 82% | 1 day ago 74% |
| TrendMonth ODDS (%) | 1 day ago 79% | 1 day ago 73% |
| Advances ODDS (%) | 4 days ago 81% | 5 days ago 90% |
| Declines ODDS (%) | 6 days ago 83% | 1 day ago 69% |
| BollingerBands ODDS (%) | N/A | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 78% | 1 day 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, SPWO has been closely correlated with TSM. These tickers have moved in lockstep 83% 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% | -2.82% | ||
| TSM - SPWO | 83% Closely correlated | -2.89% | ||
| BHP - SPWO | 66% Closely correlated | -0.38% | ||
| RIO - SPWO | 61% Loosely correlated | -0.76% | ||
| VALE - SPWO | 57% Loosely correlated | -1.94% | ||
| WPM - SPWO | 50% Loosely correlated | -2.02% | ||
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