| SCHM | SOVF | SCHM / SOVF | |
| Gain YTD | 17.630 | 1.613 | 1,093% |
| Net Assets | 14.7B | 93.4M | 15,739% |
| Total Expense Ratio | 0.03 | 0.75 | 4% |
| Turnover | 17.00 | 40.00 | 43% |
| Yield | 1.20 | 0.76 | 158% |
| Fund Existence | 16 years | 3 years | - |
| SCHM | SOVF | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 77% |
| MACD ODDS (%) | 2 days ago 81% | 2 days ago 69% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 73% |
| TrendMonth ODDS (%) | 2 days ago 79% | 2 days ago 82% |
| Advances ODDS (%) | 25 days ago 82% | 12 days ago 86% |
| Declines ODDS (%) | 2 days ago 78% | 2 days ago 68% |
| BollingerBands ODDS (%) | N/A | 2 days ago 83% |
| Aroon ODDS (%) | 2 days ago 81% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SPXU | 38.55 | 1.37 | +3.68% |
| ProShares UltraPro Short S&P500 | |||
| TSXD | 5.57 | 0.12 | +2.20% |
| Direxion Daily Smndctrs Top 5 Bear 2XETF | |||
| IYH | 67.98 | 0.86 | +1.28% |
| iShares US Healthcare ETF | |||
| IBAT | 41.48 | N/A | N/A |
| iShares Energy Storage & Materials ETF | |||
| ABLD | 30.82 | -0.02 | -0.08% |
| Abacus FCF Real Assets Leaders ETF | |||
A.I.dvisor indicates that over the last year, SCHM has been loosely correlated with STLD. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if SCHM jumps, then STLD could also see price increases.
| Ticker / NAME | Correlation To SCHM | 1D Price Change % | ||
|---|---|---|---|---|
| SCHM | 100% | -0.31% | ||
| STLD - SCHM | 55% Loosely correlated | +0.81% | ||
| PTC - SCHM | 54% Loosely correlated | -0.05% | ||
| DKNG - SCHM | 52% Loosely correlated | -0.09% | ||
| NTAP - SCHM | 42% Loosely correlated | -1.14% | ||
| WDC - SCHM | 41% Loosely correlated | +0.29% | ||
More | ||||
A.I.dvisor indicates that over the last year, SOVF has been closely correlated with CSW. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if SOVF jumps, then CSW could also see price increases.
| Ticker / NAME | Correlation To SOVF | 1D Price Change % | ||
|---|---|---|---|---|
| SOVF | 100% | -0.97% | ||
| CSW - SOVF | 70% Closely correlated | +2.83% | ||
| NSP - SOVF | 55% Loosely correlated | -1.62% | ||
| CMRC - SOVF | 54% Loosely correlated | -4.23% | ||
| CBRE - SOVF | 54% Loosely correlated | -1.12% | ||
| PAYC - SOVF | 51% Loosely correlated | -0.43% | ||
More | ||||