IWS | SPVM | IWS / SPVM | |
Gain YTD | -0.173 | 0.466 | -37% |
Net Assets | 13B | 59.2M | 21,959% |
Total Expense Ratio | 0.23 | 0.39 | 59% |
Turnover | 19.00 | 73.00 | 26% |
Yield | 1.56 | 2.01 | 78% |
Fund Existence | 24 years | 14 years | - |
IWS | SPVM | |
---|---|---|
RSI ODDS (%) | 4 days ago79% | 4 days ago71% |
Stochastic ODDS (%) | 4 days ago79% | 4 days ago71% |
Momentum ODDS (%) | 4 days ago89% | 4 days ago76% |
MACD ODDS (%) | 4 days ago84% | 4 days ago62% |
TrendWeek ODDS (%) | 4 days ago81% | 4 days ago73% |
TrendMonth ODDS (%) | 4 days ago81% | 4 days ago72% |
Advances ODDS (%) | 7 days ago81% | 29 days ago83% |
Declines ODDS (%) | 26 days ago83% | 26 days ago72% |
BollingerBands ODDS (%) | 5 days ago85% | 5 days ago76% |
Aroon ODDS (%) | 4 days ago80% | 4 days ago78% |
A.I.dvisor indicates that over the last year, SPVM has been closely correlated with MET. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPVM jumps, then MET could also see price increases.
Ticker / NAME | Correlation To SPVM | 1D Price Change % | ||
---|---|---|---|---|
SPVM | 100% | -1.40% | ||
MET - SPVM | 85% Closely correlated | -2.08% | ||
PRU - SPVM | 85% Closely correlated | -1.84% | ||
PNC - SPVM | 85% Closely correlated | -2.46% | ||
GS - SPVM | 83% Closely correlated | -1.85% | ||
FITB - SPVM | 83% Closely correlated | -2.57% | ||
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