DTH | EFV | DTH / EFV | |
Gain YTD | 0.658 | -0.133 | -494% |
Net Assets | 332M | 18.2B | 2% |
Total Expense Ratio | 0.58 | 0.33 | 176% |
Turnover | 39.00 | 28.00 | 139% |
Yield | 4.72 | 4.15 | 114% |
Fund Existence | 19 years | 20 years | - |
DTH | EFV | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago79% | 2 days ago83% |
Momentum ODDS (%) | 2 days ago70% | 2 days ago76% |
MACD ODDS (%) | 2 days ago71% | 2 days ago78% |
TrendWeek ODDS (%) | 2 days ago77% | 2 days ago78% |
TrendMonth ODDS (%) | 2 days ago71% | 2 days ago74% |
Advances ODDS (%) | 8 days ago81% | 8 days ago84% |
Declines ODDS (%) | 2 days ago76% | 2 days ago80% |
BollingerBands ODDS (%) | 2 days ago86% | 2 days ago85% |
Aroon ODDS (%) | 2 days ago79% | 2 days ago80% |
A.I.dvisor indicates that over the last year, DTH has been closely correlated with BHP. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if DTH jumps, then BHP could also see price increases.
A.I.dvisor indicates that over the last year, EFV has been closely correlated with SAN. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if EFV jumps, then SAN could also see price increases.