| SGDM | SILJ | SGDM / SILJ | |
| Gain YTD | 163.935 | 195.368 | 84% |
| Net Assets | 692M | 4.03B | 17% |
| Total Expense Ratio | 0.50 | 0.69 | 72% |
| Turnover | 81.00 | 47.00 | 172% |
| Yield | 0.43 | 2.77 | 15% |
| Fund Existence | 11 years | 13 years | - |
| SGDM | SILJ | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Momentum ODDS (%) | N/A | 3 days ago 90% |
| MACD ODDS (%) | N/A | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 12 days ago 89% | 12 days ago 89% |
| BollingerBands ODDS (%) | 3 days ago 87% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RFI | 10.97 | 0.09 | +0.83% |
| Cohen and Steers Total Return Realty Fund | |||
| CORO | 31.10 | 0.06 | +0.19% |
| iShares International Country Rot ActETF | |||
| QVML | 40.63 | 0.07 | +0.18% |
| Invesco S&P 500 QVM Multi-factor ETF | |||
| OCTM | 32.67 | N/A | N/A |
| FT Vest U.S. Equity Max Buffer ETF – Oct | |||
| PIT | 53.59 | -0.09 | -0.17% |
| VanEck Commodity Strategy ETF | |||
A.I.dvisor indicates that over the last year, SGDM has been closely correlated with AEM. These tickers have moved in lockstep 94% 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% | -0.60% | ||
| AEM - SGDM | 94% Closely correlated | +0.04% | ||
| WPM - SGDM | 93% Closely correlated | -0.75% | ||
| AGI - SGDM | 91% Closely correlated | -0.74% | ||
| AU - SGDM | 87% Closely correlated | +0.35% | ||
| IAG - SGDM | 86% Closely correlated | -2.20% | ||
More | ||||
A.I.dvisor indicates that over the last year, SILJ has been closely correlated with PAAS. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SILJ jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SILJ | 1D Price Change % | ||
|---|---|---|---|---|
| SILJ | 100% | -1.21% | ||
| PAAS - SILJ | 88% Closely correlated | -0.02% | ||
| CDE - SILJ | 83% Closely correlated | -1.94% | ||
| WPM - SILJ | 83% Closely correlated | -0.75% | ||
| VZLA - SILJ | 81% Closely correlated | -1.73% | ||
| EQX - SILJ | 78% Closely correlated | -1.95% | ||
More | ||||