| DNL | JIG | DNL / JIG | |
| Gain YTD | 17.317 | 17.874 | 97% |
| Net Assets | 487M | 288M | 169% |
| Total Expense Ratio | 0.42 | 0.55 | 76% |
| Turnover | 62.00 | 51.00 | 122% |
| Yield | 2.06 | 1.43 | 144% |
| Fund Existence | 20 years | 6 years | - |
| DNL | JIG | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 80% | 3 days ago 80% |
| Stochastic ODDS (%) | 3 days ago 78% | 3 days ago 76% |
| Momentum ODDS (%) | 3 days ago 81% | 3 days ago 83% |
| MACD ODDS (%) | 3 days ago 78% | 3 days ago 74% |
| TrendWeek ODDS (%) | 3 days ago 79% | 3 days ago 82% |
| TrendMonth ODDS (%) | 3 days ago 75% | 3 days ago 79% |
| Advances ODDS (%) | 3 days ago 81% | 3 days ago 81% |
| Declines ODDS (%) | 10 days ago 78% | 10 days ago 80% |
| BollingerBands ODDS (%) | 4 days ago 76% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 70% | 3 days ago 77% |
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 65% 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.