| MIDE | SPMD | MIDE / SPMD | |
| Gain YTD | 5.537 | 6.211 | 89% |
| Net Assets | 4.16M | 14.5B | 0% |
| Total Expense Ratio | 0.15 | 0.03 | 500% |
| Turnover | 35.00 | 13.00 | 269% |
| Yield | 1.46 | 1.40 | 105% |
| Fund Existence | 5 years | 20 years | - |
| MIDE | SPMD | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 69% | N/A |
| Stochastic ODDS (%) | 3 days ago 77% | 3 days ago 81% |
| Momentum ODDS (%) | 3 days ago 79% | 3 days ago 83% |
| MACD ODDS (%) | 3 days ago 74% | 3 days ago 85% |
| TrendWeek ODDS (%) | 3 days ago 73% | 3 days ago 83% |
| TrendMonth ODDS (%) | 3 days ago 74% | 3 days ago 80% |
| Advances ODDS (%) | about 1 month ago 80% | 5 days ago 84% |
| Declines ODDS (%) | N/A | 11 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 74% | 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, MIDE has been closely correlated with SBNY. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if MIDE jumps, then SBNY could also see price increases.
| Ticker / NAME | Correlation To MIDE | 1D Price Change % | ||
|---|---|---|---|---|
| MIDE | 100% | N/A | ||
| SBNY - MIDE | 74% Closely correlated | N/A | ||
| KAR - MIDE | 71% Closely correlated | +1.72% | ||
| WKC - MIDE | 58% Loosely correlated | -0.33% | ||
| CR - MIDE | 54% Loosely correlated | +1.49% | ||
| ESAB - MIDE | 43% Loosely correlated | -1.86% | ||
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 | ||||