| DNL | JIG | DNL / JIG | |
| Gain YTD | 14.253 | 18.371 | 78% |
| Net Assets | 474M | 281M | 169% |
| Total Expense Ratio | 0.42 | 0.55 | 76% |
| Turnover | 62.00 | 51.00 | 122% |
| Yield | 2.06 | 1.43 | 144% |
| Fund Existence | 19 years | 6 years | - |
| DNL | JIG | |
|---|---|---|
| RSI ODDS (%) | 6 days ago 90% | 6 days ago 77% |
| Stochastic ODDS (%) | 6 days ago 75% | 6 days ago 80% |
| Momentum ODDS (%) | 6 days ago 74% | 6 days ago 79% |
| MACD ODDS (%) | 6 days ago 85% | 6 days ago 78% |
| TrendWeek ODDS (%) | 6 days ago 80% | 6 days ago 82% |
| TrendMonth ODDS (%) | 6 days ago 75% | 6 days ago 77% |
| Advances ODDS (%) | 6 days ago 82% | 6 days ago 82% |
| Declines ODDS (%) | 16 days ago 78% | 14 days ago 79% |
| BollingerBands ODDS (%) | 6 days ago 83% | 6 days ago 90% |
| Aroon ODDS (%) | 6 days ago 74% | 6 days ago 79% |
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, JIG has been loosely correlated with FER. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is some statistical probability that if JIG jumps, then FER could also see price increases.