IVV | SPMO | IVV / SPMO | |
Gain YTD | 13.993 | 27.608 | 51% |
Net Assets | 683B | 13.1B | 5,214% |
Total Expense Ratio | 0.03 | 0.13 | 23% |
Turnover | 3.00 | 72.00 | 4% |
Yield | 1.23 | 0.56 | 220% |
Fund Existence | 25 years | 10 years | - |
IVV | SPMO | |
---|---|---|
RSI ODDS (%) | 2 days ago72% | 2 days ago76% |
Stochastic ODDS (%) | 2 days ago66% | 2 days ago74% |
Momentum ODDS (%) | 2 days ago90% | 2 days ago87% |
MACD ODDS (%) | 2 days ago67% | 2 days ago74% |
TrendWeek ODDS (%) | 2 days ago74% | 2 days ago76% |
TrendMonth ODDS (%) | 2 days ago86% | 2 days ago85% |
Advances ODDS (%) | 6 days ago86% | 6 days ago85% |
Declines ODDS (%) | 3 days ago73% | 3 days ago74% |
BollingerBands ODDS (%) | 2 days ago68% | 2 days ago81% |
Aroon ODDS (%) | 2 days ago84% | 2 days ago86% |
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% | +0.22% | ||
PH - SPMO | 81% Closely correlated | +0.76% | ||
GS - SPMO | 81% Closely correlated | +0.98% | ||
KKR - SPMO | 80% Closely correlated | -1.22% | ||
ETN - SPMO | 77% Closely correlated | +0.23% | ||
NVDA - SPMO | 77% Closely correlated | +0.28% | ||
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