CSM | SPMO | CSM / SPMO | |
Gain YTD | 13.402 | 23.677 | 57% |
Net Assets | 467M | 12.2B | 4% |
Total Expense Ratio | 0.45 | 0.13 | 346% |
Turnover | 57.00 | 72.00 | 79% |
Yield | 1.01 | 0.56 | 180% |
Fund Existence | 16 years | 10 years | - |
CSM | SPMO | |
---|---|---|
RSI ODDS (%) | 2 days ago70% | 2 days ago80% |
Stochastic ODDS (%) | 2 days ago69% | 2 days ago76% |
Momentum ODDS (%) | 2 days ago89% | 2 days ago87% |
MACD ODDS (%) | 2 days ago73% | 2 days ago80% |
TrendWeek ODDS (%) | 2 days ago85% | 2 days ago76% |
TrendMonth ODDS (%) | 2 days ago84% | 2 days ago85% |
Advances ODDS (%) | 3 days ago85% | 3 days ago85% |
Declines ODDS (%) | 5 days ago75% | 5 days ago74% |
BollingerBands ODDS (%) | 2 days ago74% | 2 days ago79% |
Aroon ODDS (%) | 2 days ago81% | 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 82% 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% | -0.24% | ||
PH - SPMO | 82% Closely correlated | +0.21% | ||
GS - SPMO | 80% Closely correlated | -1.43% | ||
KKR - SPMO | 80% Closely correlated | -1.33% | ||
AXP - SPMO | 80% Closely correlated | -1.34% | ||
MS - SPMO | 79% Closely correlated | -1.62% | ||
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