| EWG | EWQ | EWG / EWQ | |
| Gain YTD | 5.293 | 8.123 | 65% |
| Net Assets | 1.72B | 333M | 515% |
| Total Expense Ratio | 0.49 | 0.50 | 98% |
| Turnover | 2.00 | 4.00 | 50% |
| Yield | 1.94 | 2.83 | 69% |
| Fund Existence | 30 years | 30 years | - |
| EWG | EWQ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 76% | 2 days ago 86% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 80% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 79% | 2 days ago 80% |
| TrendMonth ODDS (%) | 2 days ago 76% | 2 days ago 80% |
| Advances ODDS (%) | 10 days ago 82% | 7 days ago 82% |
| Declines ODDS (%) | 8 days ago 83% | 2 days ago 79% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 77% |
| Aroon ODDS (%) | N/A | 2 days ago 78% |
A.I.dvisor indicates that over the last year, EWG has been loosely correlated with NEM. These tickers have moved in lockstep 47% of the time. This A.I.-generated data suggests there is some statistical probability that if EWG jumps, then NEM could also see price increases.
A.I.dvisor indicates that over the last year, EWQ has been closely correlated with STM. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if EWQ jumps, then STM could also see price increases.