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CSM or OEF or SPMO
CSM vs OEF vs SPMO Comparison
Open Charts CSM vs OEF vs SPMO
ProShares Large Cap Core Plus
Price$75.66
Change-$0.20 (-0.26%)
Volume$10.51K
Net Assets470.48M
iShares S&P 100 ETF
Price$327.92
Change+$0.79 (+0.24%)
Volume$162.38K
Net Assets22.4B
Invesco S&P 500® Momentum ETF
Price$120.48
Change+$0.35 (+0.29%)
Volume$2.2M
Net Assets12.61B
CSM vs OEF vs SPMO Comparison Chart in %
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SUMMARIES
FUNDAMENTALS
Fundamentals
OEF has more net assets: 22.4B vs. SPMO (12.6B) and CSM (470M). SPMO has a higher annual dividend yield than CSM and OEF: SPMO (27.301) vs CSM (15.026) and OEF (14.014). CSM was incepted earlier than OEF and SPMO: CSM (16 years) vs OEF (25 years) and SPMO (10 years). SPMO (0.13) has a lower expense ratio than OEF (0.20) and CSM (0.45). SPMO has a higher turnover CSM (57.00) and OEF (4.00) vs CSM (57.00) and OEF (4.00).
| CSM | OEF | SPMO | |
| Gain YTD | 15.026 | 14.014 | 27.301 |
| Net Assets | 470M | 22.4B | 12.6B |
| Total Expense Ratio | 0.45 | 0.20 | 0.13 |
| Turnover | 57.00 | 4.00 | 72.00 |
| Yield | 1.01 | 0.88 | 0.56 |
| Fund Existence | 16 years | 25 years | 10 years |
TECHNICAL ANALYSIS
Technical Analysis
| CSM | OEF | SPMO | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 68% | 2 days ago 70% | 2 days ago 70% |
| Stochastic ODDS (%) | 2 days ago 66% | 2 days ago 69% | 2 days ago 76% |
| Momentum ODDS (%) | 5 days ago 86% | 2 days ago 89% | 2 days ago 89% |
| MACD ODDS (%) | 2 days ago 82% | 2 days ago 84% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 87% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 84% | 2 days ago 87% | 2 days ago 85% |
| Advances ODDS (%) | 3 days ago 85% | 2 days ago 86% | 2 days ago 85% |
| Declines ODDS (%) | 12 days ago 75% | 12 days ago 75% | 12 days ago 74% |
| BollingerBands ODDS (%) | 2 days ago 74% | 2 days ago 74% | 2 days ago 69% |
| Aroon ODDS (%) | 2 days ago 81% | 2 days ago 87% | 2 days ago 85% |
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Correlation & Price change
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SPMO and
Correlation & Price change
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.
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| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +0.29% | ||
| PH - SPMO | 81% Closely correlated | -1.41% | ||
| AXP - SPMO | 80% Closely correlated | -1.22% | ||
| GS - SPMO | 80% Closely correlated | -0.60% | ||
| KKR - SPMO | 80% Closely correlated | -1.15% | ||
| MS - SPMO | 79% Closely correlated | -0.06% | ||
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