| CEFA | DIHP | CEFA / DIHP | |
| Gain YTD | 10.559 | 10.381 | 102% |
| Net Assets | 56.2M | 6.36B | 1% |
| Total Expense Ratio | 0.35 | 0.27 | 130% |
| Turnover | 12.92 | 8.00 | 162% |
| Yield | 2.68 | 1.92 | 139% |
| Fund Existence | 6 years | 4 years | - |
| CEFA | DIHP | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 4 days ago 74% | 4 days ago 67% |
| Momentum ODDS (%) | 4 days ago 77% | 4 days ago 83% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 81% |
| TrendWeek ODDS (%) | 4 days ago 81% | 4 days ago 83% |
| TrendMonth ODDS (%) | 4 days ago 77% | 4 days ago 81% |
| Advances ODDS (%) | 7 days ago 84% | 7 days ago 85% |
| Declines ODDS (%) | N/A | 15 days ago 76% |
| BollingerBands ODDS (%) | 4 days ago 79% | 4 days ago 73% |
| Aroon ODDS (%) | 4 days ago 79% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TBT | 38.45 | 0.51 | +1.34% |
| ProShares UltraShort 20+ Year Treasury | |||
| ASIA | 40.49 | 0.47 | +1.18% |
| Matthews Pacific Tiger Active ETF | |||
| RING | 63.77 | -2.02 | -3.07% |
| iShares MSCI Global Gold Miners ETF | |||
| WXET | 19.83 | -1.61 | -7.53% |
| Teucrium 2x Daily Wheat ETF | |||
| CSEX | 14.49 | -1.83 | -11.21% |
| Tradr 2X Long CLS Daily ETF | |||
A.I.dvisor indicates that over the last year, CEFA 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 CEFA jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To CEFA | 1D Price Change % | ||
|---|---|---|---|---|
| CEFA | 100% | -0.72% | ||
| STM - CEFA | 79% Closely correlated | -1.26% | ||
| STLA - CEFA | 60% Loosely correlated | -1.71% | ||
| TPG - CEFA | 56% Loosely correlated | +2.25% | ||
| CNH - CEFA | 55% Loosely correlated | -0.68% | ||
| WPP - CEFA | 54% Loosely correlated | -1.22% | ||
More | ||||
A.I.dvisor indicates that over the last year, DIHP has been closely correlated with RY. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if DIHP jumps, then RY could also see price increases.
| Ticker / NAME | Correlation To DIHP | 1D Price Change % | ||
|---|---|---|---|---|
| DIHP | 100% | -0.63% | ||
| RY - DIHP | 71% Closely correlated | -0.29% | ||
| BHP - DIHP | 69% Closely correlated | -1.64% | ||
| FER - DIHP | 69% Closely correlated | -0.03% | ||
| RIO - DIHP | 68% Closely correlated | -0.34% | ||
| BBVA - DIHP | 63% Loosely correlated | +1.27% | ||
More | ||||