EWA | QAT | EWA / QAT | |
Gain YTD | 5.604 | 3.973 | 141% |
Net Assets | 1.48B | 64.6M | 2,286% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 4.00 | 25.00 | 16% |
Yield | 3.67 | 4.04 | 91% |
Fund Existence | 29 years | 11 years | - |
EWA | QAT | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 2 days ago84% | 2 days ago74% |
Momentum ODDS (%) | 2 days ago86% | 2 days ago77% |
MACD ODDS (%) | 2 days ago88% | 2 days ago77% |
TrendWeek ODDS (%) | 2 days ago82% | 2 days ago79% |
TrendMonth ODDS (%) | 2 days ago81% | 2 days ago78% |
Advances ODDS (%) | 2 days ago84% | 2 days ago80% |
Declines ODDS (%) | 6 days ago83% | 14 days ago73% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago80% |
Aroon ODDS (%) | N/A | 2 days ago80% |
A.I.dvisor indicates that over the last year, EWA has been closely correlated with BHP. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if EWA jumps, then BHP could also see price increases.
A.I.dvisor tells us that QAT and MARK have been poorly correlated (+14% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that QAT and MARK's prices will move in lockstep.
Ticker / NAME | Correlation To QAT | 1D Price Change % | ||
---|---|---|---|---|
QAT | 100% | -1.83% | ||
MARK - QAT | 14% Poorly correlated | -0.51% | ||
ABL - QAT | -0% Poorly correlated | -1.95% |