EWG | VNAM | EWG / VNAM | |
Gain YTD | 32.208 | 61.784 | 52% |
Net Assets | 2.03B | 26.2M | 7,733% |
Total Expense Ratio | 0.50 | 0.51 | 98% |
Turnover | 3.00 | 13.16 | 23% |
Yield | 1.63 | 0.79 | 206% |
Fund Existence | 30 years | 4 years | - |
EWG | VNAM | |
---|---|---|
RSI ODDS (%) | N/A | 4 days ago75% |
Stochastic ODDS (%) | 4 days ago80% | 4 days ago83% |
Momentum ODDS (%) | 4 days ago80% | 4 days ago83% |
MACD ODDS (%) | 4 days ago88% | 4 days ago86% |
TrendWeek ODDS (%) | 4 days ago81% | 4 days ago83% |
TrendMonth ODDS (%) | 4 days ago78% | 4 days ago84% |
Advances ODDS (%) | 19 days ago82% | 7 days ago81% |
Declines ODDS (%) | 6 days ago81% | 28 days ago79% |
BollingerBands ODDS (%) | 4 days ago78% | 4 days ago80% |
Aroon ODDS (%) | 4 days ago80% | 4 days ago89% |
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 indicates that over the last year, VNAM has been loosely correlated with FRT. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if VNAM jumps, then FRT could also see price increases.
Ticker / NAME | Correlation To VNAM | 1D Price Change % | ||
---|---|---|---|---|
VNAM | 100% | -2.04% | ||
FRT - VNAM | 37% Loosely correlated | +0.93% | ||
HUT - VNAM | 25% Poorly correlated | -0.66% | ||
KOS - VNAM | 23% Poorly correlated | -0.68% | ||
CMG - VNAM | 21% Poorly correlated | +0.24% | ||
SSB - VNAM | 19% Poorly correlated | +1.16% | ||
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