| DNL | EFG | DNL / EFG | |
| Gain YTD | 3.000 | 4.055 | 74% |
| Net Assets | 475M | 9.78B | 5% |
| Total Expense Ratio | 0.42 | 0.34 | 124% |
| Turnover | 62.00 | 23.00 | 270% |
| Yield | 1.97 | 2.42 | 81% |
| Fund Existence | 20 years | 21 years | - |
| DNL | EFG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 71% | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 81% | 2 days ago 81% |
| Momentum ODDS (%) | 2 days ago 84% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 76% | 2 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 77% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 76% | 2 days ago 79% |
| Advances ODDS (%) | 9 days ago 82% | 9 days ago 80% |
| Declines ODDS (%) | 6 days ago 79% | 22 days ago 83% |
| BollingerBands ODDS (%) | 2 days ago 79% | 2 days ago 75% |
| Aroon ODDS (%) | 2 days ago 70% | 2 days ago 82% |
A.I.dvisor indicates that over the last year, DNL has been closely correlated with STM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if DNL jumps, then STM could also see price increases.
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.