DNL | EFAD | DNL / EFAD | |
Gain YTD | 15.862 | 17.830 | 89% |
Net Assets | 502M | 68.4M | 734% |
Total Expense Ratio | 0.42 | 0.50 | 84% |
Turnover | 62.00 | 36.00 | 172% |
Yield | 2.07 | 2.30 | 90% |
Fund Existence | 19 years | 11 years | - |
DNL | EFAD | |
---|---|---|
RSI ODDS (%) | 2 days ago69% | N/A |
Stochastic ODDS (%) | 2 days ago72% | 2 days ago74% |
Momentum ODDS (%) | 2 days ago82% | 2 days ago77% |
MACD ODDS (%) | 2 days ago79% | 2 days ago79% |
TrendWeek ODDS (%) | 2 days ago80% | 2 days ago78% |
TrendMonth ODDS (%) | 2 days ago76% | 2 days ago76% |
Advances ODDS (%) | 2 days ago83% | 2 days ago78% |
Declines ODDS (%) | 13 days ago79% | 13 days ago76% |
BollingerBands ODDS (%) | 2 days ago83% | 2 days ago89% |
Aroon ODDS (%) | 2 days ago73% | 5 days ago76% |
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 tells us that EFAD and NG have been poorly correlated (+25% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that EFAD and NG's prices will move in lockstep.
Ticker / NAME | Correlation To EFAD | 1D Price Change % | ||
---|---|---|---|---|
EFAD | 100% | N/A | ||
NG - EFAD | 25% Poorly correlated | +4.24% | ||
CSL - EFAD | 12% Poorly correlated | -1.04% | ||
ROG - EFAD | 12% Poorly correlated | -2.49% | ||
NEM - EFAD | 10% Poorly correlated | -1.76% | ||
CAR - EFAD | 8% Poorly correlated | +0.55% | ||
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