| DFIC | EFA | DFIC / EFA | |
| Gain YTD | 36.874 | 29.934 | 123% |
| Net Assets | 12B | 70.5B | 17% |
| Total Expense Ratio | 0.23 | 0.32 | 72% |
| Turnover | 11.00 | 4.00 | 275% |
| Yield | 2.52 | 2.71 | 93% |
| Fund Existence | 4 years | 24 years | - |
| DFIC | EFA | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 73% | 5 days ago 78% |
| Stochastic ODDS (%) | 3 days ago 71% | 3 days ago 81% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 78% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 87% |
| TrendWeek ODDS (%) | 3 days ago 82% | 3 days ago 81% |
| TrendMonth ODDS (%) | 3 days ago 79% | 3 days ago 78% |
| Advances ODDS (%) | 3 days ago 84% | 3 days ago 82% |
| Declines ODDS (%) | 12 days ago 79% | 12 days ago 79% |
| BollingerBands ODDS (%) | N/A | 6 days ago 84% |
| Aroon ODDS (%) | 3 days ago 79% | 3 days ago 75% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IHD | 6.35 | 0.09 | +1.44% |
| VOYA EMERGING MARKETS HIGH Income DIVIDEND EQUITY FUND | |||
| SCHK | 33.22 | N/A | N/A |
| Schwab 1000 ETF | |||
| BRTR | 50.85 | -0.01 | -0.02% |
| iShares Total Return Active ETF | |||
| SSG | 29.45 | -0.37 | -1.24% |
| ProShares UltraShort Semiconductors | |||
| BULU | 6.33 | -0.36 | -5.32% |
| T-REX 2X Long BULL Daily Target ETF | |||
A.I.dvisor indicates that over the last year, DFIC has been closely correlated with BHP. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if DFIC jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To DFIC | 1D Price Change % | ||
|---|---|---|---|---|
| DFIC | 100% | +0.07% | ||
| BHP - DFIC | 73% Closely correlated | +1.68% | ||
| ASML - DFIC | 56% Loosely correlated | +0.68% | ||
| SHEL - DFIC | 54% Loosely correlated | -0.04% | ||
| TTE - DFIC | 50% Loosely correlated | -0.02% | ||
| MC - DFIC | 47% Loosely correlated | +0.65% | ||
More | ||||
A.I.dvisor indicates that over the last year, EFA has been closely correlated with STM. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if EFA jumps, then STM could also see price increases.