| FDLS | SPMD | FDLS / SPMD | |
| Gain YTD | 21.321 | 6.211 | 343% |
| Net Assets | 113M | 14.5B | 1% |
| Total Expense Ratio | 0.69 | 0.03 | 2,300% |
| Turnover | 232.00 | 13.00 | 1,785% |
| Yield | 0.60 | 1.40 | 43% |
| Fund Existence | 3 years | 20 years | - |
| FDLS | SPMD | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 89% | N/A |
| Stochastic ODDS (%) | 3 days ago 63% | 3 days ago 81% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 83% |
| MACD ODDS (%) | 3 days ago 84% | 3 days ago 85% |
| TrendWeek ODDS (%) | 3 days ago 84% | 3 days ago 83% |
| TrendMonth ODDS (%) | 3 days ago 83% | 3 days ago 80% |
| Advances ODDS (%) | 3 days ago 84% | 5 days ago 84% |
| Declines ODDS (%) | 24 days ago 70% | 11 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 80% | 4 days ago 82% |
| Aroon ODDS (%) | 3 days ago 75% | 3 days ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| VNIE | 25.08 | 0.15 | +0.60% |
| Vontobel International Equity Active ETF | |||
| VFQY | 151.62 | 0.59 | +0.39% |
| Vanguard US Quality Factor ETF | |||
| MRCP | 31.52 | -0.01 | -0.03% |
| PGIM S&P 500 Buffer 12 ETF - Mar | |||
| FCVT | 43.76 | -0.23 | -0.52% |
| First Trust SSI Strat Convert Secs ETF | |||
| DFGR | 27.29 | -0.19 | -0.69% |
| Dimensional Global Real Estate ETF | |||
A.I.dvisor indicates that over the last year, FDLS has been closely correlated with SF. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if FDLS jumps, then SF could also see price increases.
| Ticker / NAME | Correlation To FDLS | 1D Price Change % | ||
|---|---|---|---|---|
| FDLS | 100% | +0.83% | ||
| SF - FDLS | 73% Closely correlated | +2.07% | ||
| CAT - FDLS | 71% Closely correlated | +0.90% | ||
| IR - FDLS | 70% Closely correlated | +0.49% | ||
| EWBC - FDLS | 67% Closely correlated | +0.31% | ||
| ENVA - FDLS | 67% Closely correlated | +1.52% | ||
More | ||||
A.I.dvisor indicates that over the last year, SPMD has been closely correlated with EVR. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMD jumps, then EVR could also see price increases.
| Ticker / NAME | Correlation To SPMD | 1D Price Change % | ||
|---|---|---|---|---|
| SPMD | 100% | +0.37% | ||
| EVR - SPMD | 85% Closely correlated | +2.99% | ||
| BDC - SPMD | 85% Closely correlated | +0.10% | ||
| JHG - SPMD | 85% Closely correlated | +0.70% | ||
| SF - SPMD | 84% Closely correlated | +2.07% | ||
| FLS - SPMD | 84% Closely correlated | +0.82% | ||
More | ||||