| GMET | VAW | GMET / VAW | |
| Gain YTD | 22.732 | 11.785 | 193% |
| Net Assets | 36.3M | 4.1B | 1% |
| Total Expense Ratio | 0.61 | 0.09 | 678% |
| Turnover | 20.00 | 7.00 | 286% |
| Yield | 1.57 | 1.43 | 109% |
| Fund Existence | 4 years | 22 years | - |
| GMET | VAW | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 89% | 2 days ago 86% |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 88% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 84% | 2 days ago 81% |
| Advances ODDS (%) | 2 days ago 86% | 2 days ago 86% |
| Declines ODDS (%) | 28 days ago 88% | 6 days ago 84% |
| BollingerBands ODDS (%) | 2 days ago 87% | 2 days ago 87% |
| Aroon ODDS (%) | 2 days ago 85% | 2 days ago 82% |
A.I.dvisor tells us that GMET and SGML have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GMET and SGML's prices will move in lockstep.
| Ticker / NAME | Correlation To GMET | 1D Price Change % | ||
|---|---|---|---|---|
| GMET | 100% | +5.55% | ||
| SGML - GMET | 22% Poorly correlated | +11.35% | ||
| SQM - GMET | 15% Poorly correlated | +5.38% | ||
| ALB - GMET | 12% Poorly correlated | +3.46% | ||
| AAL - GMET | 11% Poorly correlated | +2.34% | ||
| TECK - GMET | 6% Poorly correlated | +8.58% | ||
More | ||||
A.I.dvisor indicates that over the last year, VAW has been closely correlated with DD. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if VAW jumps, then DD could also see price increases.