EWA | VNAM | EWA / VNAM | |
Gain YTD | 10.310 | 9.187 | 112% |
Net Assets | 1.56B | 13.5M | 11,578% |
Total Expense Ratio | 0.50 | 0.51 | 98% |
Turnover | 5.00 | 13.16 | 38% |
Yield | 3.43 | 0.89 | 384% |
Fund Existence | 29 years | 4 years | - |
EWA | VNAM | |
---|---|---|
RSI ODDS (%) | 3 days ago86% | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago89% | 3 days ago79% |
Momentum ODDS (%) | N/A | 3 days ago82% |
MACD ODDS (%) | 3 days ago88% | 3 days ago81% |
TrendWeek ODDS (%) | 3 days ago82% | 3 days ago80% |
TrendMonth ODDS (%) | 3 days ago80% | 3 days ago80% |
Advances ODDS (%) | 6 days ago84% | N/A |
Declines ODDS (%) | N/A | 3 days ago81% |
BollingerBands ODDS (%) | 3 days ago87% | N/A |
Aroon ODDS (%) | 3 days ago78% | 3 days ago83% |
A.I.dvisor indicates that over the last year, EWA has been closely correlated with BHP. These tickers have moved in lockstep 78% 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 VNAM and CMG have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that VNAM and CMG's prices will move in lockstep.
Ticker / NAME | Correlation To VNAM | 1D Price Change % | ||
---|---|---|---|---|
VNAM | 100% | -1.44% | ||
CMG - VNAM | 31% Poorly correlated | -1.28% | ||
FTS - VNAM | 14% Poorly correlated | +0.35% | ||
HUT - VNAM | 14% Poorly correlated | -4.79% | ||
VHC - VNAM | 10% Poorly correlated | -3.60% | ||
VRE - VNAM | 9% Poorly correlated | -2.36% | ||
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