| DTH | IDV | DTH / IDV | |
| Gain YTD | 42.084 | 50.362 | 84% |
| Net Assets | 517M | 6.67B | 8% |
| Total Expense Ratio | 0.58 | 0.50 | 116% |
| Turnover | 46.00 | 27.00 | 170% |
| Yield | 3.86 | 4.51 | 85% |
| Fund Existence | 20 years | 19 years | - |
| DTH | IDV | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 66% | 2 days ago 64% |
| Stochastic ODDS (%) | 2 days ago 75% | 2 days ago 68% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 82% |
| MACD ODDS (%) | 2 days ago 89% | 2 days ago 71% |
| TrendWeek ODDS (%) | 2 days ago 79% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 75% | 2 days ago 78% |
| Advances ODDS (%) | 2 days ago 81% | 2 days ago 81% |
| Declines ODDS (%) | 9 days ago 76% | 11 days ago 75% |
| BollingerBands ODDS (%) | 2 days ago 70% | N/A |
| Aroon ODDS (%) | 2 days ago 79% | 2 days ago 82% |
A.I.dvisor indicates that over the last year, DTH has been closely correlated with SAN. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if DTH jumps, then SAN could also see price increases.
A.I.dvisor indicates that over the last year, IDV has been closely correlated with BMO. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if IDV jumps, then BMO could also see price increases.