| RING | SGDM | RING / SGDM | |
| Gain YTD | 113.424 | 104.715 | 108% |
| Net Assets | 2.47B | 572M | 431% |
| Total Expense Ratio | 0.39 | 0.50 | 78% |
| Turnover | 18.00 | 81.00 | 22% |
| Yield | 0.71 | 0.47 | 150% |
| Fund Existence | 14 years | 11 years | - |
| RING | SGDM | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 85% | 1 day ago 84% |
| MACD ODDS (%) | 1 day ago 83% | 1 day ago 89% |
| TrendWeek ODDS (%) | 1 day ago 88% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 87% | 1 day ago 88% |
| Advances ODDS (%) | 5 days ago 90% | 5 days ago 90% |
| Declines ODDS (%) | 1 day ago 88% | 1 day ago 89% |
| BollingerBands ODDS (%) | 1 day ago 88% | 1 day ago 88% |
| Aroon ODDS (%) | 1 day ago 89% | 1 day ago 90% |
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% | -4.58% | ||
| AEM - SGDM | 94% Closely correlated | -5.01% | ||
| WPM - SGDM | 93% Closely correlated | -3.77% | ||
| AGI - SGDM | 91% Closely correlated | -3.20% | ||
| AU - SGDM | 87% Closely correlated | -5.22% | ||
| IAG - SGDM | 86% Closely correlated | -3.03% | ||
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