SPMO | VTI | SPMO / VTI | |
Gain YTD | 22.821 | 9.312 | 245% |
Net Assets | 11.7B | 1.91T | 1% |
Total Expense Ratio | 0.13 | 0.03 | 433% |
Turnover | 72.00 | 2.00 | 3,600% |
Yield | 0.56 | 1.19 | 47% |
Fund Existence | 10 years | 24 years | - |
SPMO | VTI | |
---|---|---|
RSI ODDS (%) | 1 day ago80% | 1 day ago84% |
Stochastic ODDS (%) | 1 day ago84% | 1 day ago80% |
Momentum ODDS (%) | 1 day ago80% | 1 day ago86% |
MACD ODDS (%) | 1 day ago81% | 1 day ago67% |
TrendWeek ODDS (%) | 1 day ago76% | 1 day ago86% |
TrendMonth ODDS (%) | 1 day ago85% | 1 day ago85% |
Advances ODDS (%) | 27 days ago85% | 14 days ago84% |
Declines ODDS (%) | 6 days ago74% | 6 days ago78% |
BollingerBands ODDS (%) | 1 day ago77% | 1 day ago83% |
Aroon ODDS (%) | 1 day ago84% | 1 day ago82% |
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with PH. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then PH could also see price increases.
Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
---|---|---|---|---|
SPMO | 100% | -0.23% | ||
PH - SPMO | 81% Closely correlated | -0.27% | ||
KKR - SPMO | 80% Closely correlated | -2.16% | ||
GS - SPMO | 80% Closely correlated | -0.42% | ||
AXP - SPMO | 80% Closely correlated | -1.05% | ||
APO - SPMO | 79% Closely correlated | -0.23% | ||
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