EWG | VNAM | EWG / VNAM | |
Gain YTD | 36.776 | 36.177 | 102% |
Net Assets | 2.9B | 17.9M | 16,207% |
Total Expense Ratio | 0.50 | 0.51 | 98% |
Turnover | 3.00 | 13.16 | 23% |
Yield | 1.60 | 1.02 | 157% |
Fund Existence | 29 years | 4 years | - |
EWG | VNAM | |
---|---|---|
RSI ODDS (%) | 4 days ago85% | 4 days ago71% |
Stochastic ODDS (%) | 4 days ago77% | 5 days ago75% |
Momentum ODDS (%) | 4 days ago77% | 4 days ago73% |
MACD ODDS (%) | 4 days ago85% | 4 days ago76% |
TrendWeek ODDS (%) | 4 days ago81% | 4 days ago81% |
TrendMonth ODDS (%) | 4 days ago79% | 4 days ago81% |
Advances ODDS (%) | 20 days ago82% | 6 days ago80% |
Declines ODDS (%) | 14 days ago82% | 8 days ago80% |
BollingerBands ODDS (%) | 4 days ago86% | 4 days ago86% |
Aroon ODDS (%) | N/A | 4 days ago86% |
A.I.dvisor indicates that over the last year, EWG has been loosely correlated with SAP. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is some statistical probability that if EWG jumps, then SAP could also see price increases.
A.I.dvisor tells us that VNAM and CMG have been poorly correlated (+29% 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% | +2.02% | ||
CMG - VNAM | 29% Poorly correlated | +2.23% | ||
FTS - VNAM | 14% Poorly correlated | +0.02% | ||
HUT - VNAM | 14% Poorly correlated | -3.60% | ||
VHC - VNAM | 10% Poorly correlated | -4.10% | ||
VRE - VNAM | 9% Poorly correlated | N/A | ||
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