EWG | VNM | EWG / VNM | |
Gain YTD | 34.412 | 58.798 | 59% |
Net Assets | 2.08B | 570M | 364% |
Total Expense Ratio | 0.50 | 0.68 | 74% |
Turnover | 3.00 | 21.00 | 14% |
Yield | 1.63 | 0.00 | - |
Fund Existence | 30 years | 16 years | - |
EWG | VNM | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago76% |
Stochastic ODDS (%) | 2 days ago79% | 2 days ago74% |
Momentum ODDS (%) | 2 days ago80% | 2 days ago90% |
MACD ODDS (%) | 2 days ago83% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago80% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago78% | 2 days ago84% |
Advances ODDS (%) | 7 days ago82% | 3 days ago81% |
Declines ODDS (%) | 2 days ago82% | 16 days ago77% |
BollingerBands ODDS (%) | 2 days ago81% | 2 days ago76% |
Aroon ODDS (%) | 2 days ago65% | 2 days ago81% |
A.I.dvisor indicates that over the last year, EWG has been closely correlated with SAP. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if EWG jumps, then SAP could also see price increases.
A.I.dvisor tells us that VNM and APH have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that VNM and APH's prices will move in lockstep.