| EFAS | VYMI | EFAS / VYMI | |
| Gain YTD | 40.907 | 31.571 | 130% |
| Net Assets | 34.7M | 13.8B | 0% |
| Total Expense Ratio | 0.55 | 0.17 | 324% |
| Turnover | 64.02 | 11.00 | 582% |
| Yield | 5.04 | 3.82 | 132% |
| Fund Existence | 9 years | 10 years | - |
| EFAS | VYMI | |
|---|---|---|
| RSI ODDS (%) | N/A | 3 days ago 73% |
| Stochastic ODDS (%) | 3 days ago 82% | 3 days ago 64% |
| Momentum ODDS (%) | 3 days ago 76% | 3 days ago 74% |
| MACD ODDS (%) | 3 days ago 77% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 80% | 3 days ago 82% |
| TrendMonth ODDS (%) | 3 days ago 77% | 3 days ago 76% |
| Advances ODDS (%) | 3 days ago 81% | 3 days ago 82% |
| Declines ODDS (%) | 11 days ago 73% | 11 days ago 75% |
| BollingerBands ODDS (%) | 3 days ago 64% | 3 days ago 82% |
| Aroon ODDS (%) | 3 days ago 76% | 3 days ago 77% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BITQ | 23.48 | 0.91 | +4.03% |
| Bitwise Crypto Industry Innovators ETF | |||
| INTF | 37.11 | 0.17 | +0.46% |
| iShares International Equity Factor ETF | |||
| TSMU | 40.87 | 0.08 | +0.20% |
| GraniteShares 2x Long TSM Daily ETF | |||
| SBND | 18.99 | N/A | -0.02% |
| Columbia Short Duration Bond ETF | |||
| SKF | 27.21 | -0.32 | -1.15% |
| ProShares UltraShort Financials | |||
A.I.dvisor indicates that over the last year, EFAS has been loosely correlated with BHP. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if EFAS jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To EFAS | 1D Price Change % | ||
|---|---|---|---|---|
| EFAS | 100% | +0.55% | ||
| BHP - EFAS | 65% Loosely correlated | -0.27% | ||
| RIO - EFAS | 61% Loosely correlated | -0.35% | ||
| VOD - EFAS | 54% Loosely correlated | -0.08% | ||
| BBVA - EFAS | 47% Loosely correlated | +0.23% | ||
| TTE - EFAS | 47% Loosely correlated | +0.27% | ||
More | ||||
A.I.dvisor indicates that over the last year, VYMI has been closely correlated with SAN. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if VYMI jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To VYMI | 1D Price Change % | ||
|---|---|---|---|---|
| VYMI | 100% | +0.26% | ||
| SAN - VYMI | 72% Closely correlated | +0.47% | ||
| MFG - VYMI | 68% Closely correlated | +0.14% | ||
| BHP - VYMI | 68% Closely correlated | -0.27% | ||
| NWG - VYMI | 67% Closely correlated | +2.14% | ||
| BN - VYMI | 67% Closely correlated | +0.88% | ||
More | ||||