| SGDM | SIL | SGDM / SIL | |
| Gain YTD | -15.511 | -14.382 | 108% |
| Net Assets | 523M | 3.89B | 13% |
| Total Expense Ratio | 0.46 | 0.65 | 71% |
| Turnover | 59.00 | 27.57 | 214% |
| Yield | 1.15 | 1.31 | 88% |
| Fund Existence | 12 years | 16 years | - |
| SGDM | SIL | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 81% | 7 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 87% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 87% | 2 days ago 87% |
| Advances ODDS (%) | 16 days ago 90% | 26 days ago 90% |
| Declines ODDS (%) | 6 days ago 88% | 2 days ago 87% |
| BollingerBands ODDS (%) | N/A | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 87% | 2 days ago 84% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MULL | 25.81 | N/A | N/A |
| GraniteShares 2x Long MU Daily ETF | |||
| JANZ | 40.67 | -0.07 | -0.17% |
| TrueShares Structured Outcome JanuaryETF | |||
| RMCA | 24.26 | -0.05 | -0.21% |
| Rockefeller California Municipal Bd ETF | |||
| MFUS | 64.57 | -0.23 | -0.35% |
| PIMCO RAFI Dyn Multi-Factor US Eq ETF | |||
| DTD | 94.25 | -0.36 | -0.38% |
| WisdomTree US Total Dividend ETF | |||
A.I.dvisor indicates that over the last year, SGDM has been closely correlated with AEM. These tickers have moved in lockstep 96% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDM jumps, then AEM could also see price increases.
| Ticker / NAME | Correlation To SGDM | 1D Price Change % | ||
|---|---|---|---|---|
| SGDM | 100% | -0.78% | ||
| AEM - SGDM | 96% Closely correlated | -0.46% | ||
| WPM - SGDM | 94% Closely correlated | -0.70% | ||
| IAG - SGDM | 92% Closely correlated | -1.27% | ||
| PAAS - SGDM | 91% Closely correlated | +1.01% | ||
| NEM - SGDM | 91% Closely correlated | -0.56% | ||
More | ||||
A.I.dvisor indicates that over the last year, SIL has been closely correlated with PAAS. These tickers have moved in lockstep 95% of the time. This A.I.-generated data suggests there is a high statistical probability that if SIL jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SIL | 1D Price Change % | ||
|---|---|---|---|---|
| SIL | 100% | -0.46% | ||
| PAAS - SIL | 95% Closely correlated | +1.01% | ||
| WPM - SIL | 94% Closely correlated | -0.70% | ||
| CDE - SIL | 90% Closely correlated | -1.32% | ||
| OR - SIL | 88% Closely correlated | -0.85% | ||
| VZLA - SIL | 81% Closely correlated | +2.61% | ||
More | ||||