ETF profile for Counterpoint Quantitative Equity ETF (CPAI) from the issuer: top holdings, net assets, expense ratio and shares outstanding.
CPAI ETF Profile
| Family: |
Counterpoint Funds |
| Name: |
Counterpoint Quantitative Equity ETF |
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| Inception Date: |
28-Nov-2023 |
| Termination Date: |
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| Investment Objective: |
The Counterpoint Quantitative Equity ETF Fund uses multiple machine learning models to select a portfolio. The process dynamically adjusts exposure to different factors to seek outperformance relative to the market. The Fund uses a blend of multiple machine learning models. These artificial intelligence models perform stock ranking, and dynamically adjust factor exposures based on changing market conditions. The Fund invests in individual stocks that have exposure to multiple factors and are among the highest-ranking stocks to hold as determined by quantitative models and artificial intelligence to seek outperformance relative to the market. |
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| Prospectus |
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| Top 10 Holdings |
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| TELADOC HEALTH I |
TDOC |
2.8420% |
| BOX INC- CLASS A |
BOX |
2.6260% |
| SIMPLY GOOD FOOD |
SMPL |
2.5670% |
| DOLLAR TREE INC |
DLTR |
2.5396% |
| CARDINAL HEALTH |
CAH |
2.5160% |
| MCKESSON CORP |
MCK |
2.5085% |
| ETSY INC |
ETSY |
2.4736% |
| MOTOROLA SOLUTIO |
MSI |
2.3598% |
| GODADDY INC-A |
GDDY |
2.3352% |
| BLACKBERRY LTD |
BB |
2.3138% |
|
Top 10 Holdings Weight: |
25.1% |
| Number of Holdings: |
52 |
| Shares Outstanding: |
10,680,000 |
| Total Net Assets: |
550,019,968 |
| NAV: |
51.24 |
| Net Expense Ratio: |
0.75% |
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| Asset Class: |
Equities (Stocks) |
| Developed or Emerging: |
Developed Market Funds |
| Country: |
US |
| Region: |
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| Strategy: |
Other Quant Model |
| Currency: |
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| Commodity: |
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| Sector: |
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| Industry: |
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| Dividend Type: |
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| Tax Exempt State: |
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| Maturity Duration: |
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| Market Cap: |
Broad Market / Multi-Cap |
| Credit Quality: |
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| Mortgage Bond Types: |
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| Bond Type: |
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| Gov't Bond Types: |
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| Reit Type: |
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| Leverage Direction/Factor: |
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| Is Currency Hedged: |
No |
| US or Ex-US: |
Domestic |
