| EFAS | FNDF | EFAS / FNDF | |
| Gain YTD | 21.566 | 23.389 | 92% |
| Net Assets | 56M | 25.7B | 0% |
| Total Expense Ratio | 0.55 | 0.25 | 220% |
| Turnover | 34.85 | 29.00 | 120% |
| Yield | 4.52 | 3.01 | 150% |
| Fund Existence | 10 years | 13 years | - |
| EFAS | FNDF | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 63% | 2 days ago 76% |
| Stochastic ODDS (%) | N/A | 2 days ago 80% |
| Momentum ODDS (%) | 2 days ago 74% | 2 days ago 82% |
| MACD ODDS (%) | 2 days ago 73% | 2 days ago 70% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 82% |
| TrendMonth ODDS (%) | 2 days ago 80% | 2 days ago 79% |
| Advances ODDS (%) | 10 days ago 83% | 2 days ago 83% |
| Declines ODDS (%) | 3 days ago 74% | 17 days ago 77% |
| BollingerBands ODDS (%) | 2 days ago 73% | 2 days ago 68% |
| Aroon ODDS (%) | 2 days ago 77% | 2 days ago 78% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| QGRD | 29.95 | 0.31 | +1.03% |
| Horizon NASDAQ-100 Defined Risk ETF | |||
| SPXV | 85.30 | 0.64 | +0.75% |
| ProShares S&P 500® ex-Health Care | |||
| QDEF | 91.71 | 0.34 | +0.38% |
| FlexShares Quality Dividend Defensv ETF | |||
| VAW | 233.87 | -1.61 | -0.68% |
| Vanguard Materials ETF | |||
| SDP | 22.86 | -0.26 | -1.11% |
| ProShares UltraShort Utilities | |||
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% | +0.35% | ||
| BHP - EFAS | 65% Loosely correlated | -3.21% | ||
| RIO - EFAS | 61% Loosely correlated | -2.98% | ||
| BBVA - EFAS | 47% Loosely correlated | +0.53% | ||
| TTE - EFAS | 47% Loosely correlated | -0.74% | ||
| BP - EFAS | 45% Loosely correlated | -0.23% | ||
More | ||||
A.I.dvisor indicates that over the last year, FNDF 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 FNDF jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To FNDF | 1D Price Change % | ||
|---|---|---|---|---|
| FNDF | 100% | +0.11% | ||
| STM - FNDF | 75% Closely correlated | -0.48% | ||
| BNT - FNDF | 74% Closely correlated | +0.42% | ||
| BHP - FNDF | 73% Closely correlated | -3.21% | ||
| RIO - FNDF | 72% Closely correlated | -2.98% | ||
| BAM - FNDF | 72% Closely correlated | +2.50% | ||
More | ||||