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 (%) | 2 days ago85% | 2 days ago71% |
Stochastic ODDS (%) | 2 days ago77% | 3 days ago75% |
Momentum ODDS (%) | 2 days ago77% | 2 days ago73% |
MACD ODDS (%) | 2 days ago85% | 2 days ago76% |
TrendWeek ODDS (%) | 2 days ago81% | 2 days ago81% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago81% |
Advances ODDS (%) | 10 days ago82% | 4 days ago80% |
Declines ODDS (%) | 12 days ago82% | 6 days ago80% |
BollingerBands ODDS (%) | 2 days ago86% | 2 days ago86% |
Aroon ODDS (%) | N/A | 2 days ago86% |
A.I.dvisor indicates that over the last year, EWG has been loosely correlated with SAP. These tickers have moved in lockstep 64% 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% | ||
SSB - VNAM | 19% Poorly correlated | +0.61% | ||
APH - VNAM | 15% Poorly correlated | +0.54% | ||
SAM - VNAM | 14% Poorly correlated | N/A | ||
GIL - VNAM | 11% Poorly correlated | -1.66% | ||
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