CPAI

Counterpoint Quantitative Equity ETF

Broad Market / IndexNYSECounterpoint ETF
$52.24
$0.13 (+0.26%)
Real-time · Sep 4, 2026 12:42 PM ET

Key Statistics

Net Assets (AUM)
$434.09M
Expense Ratio
See prospectus
Previous Close
$52.10
Day Range
$52.03 – $52.27
52-Week Range
$37.29 – $53.96
Volume
8.14K
Avg Vol (50D)
-
Beta
1.19

Historical Performance

1M
+0.65%
3M
+0.86%
6M
+18.47%
YTD
+29.93%
1Y
+40.43%
3Y
5Y

Total return including reinvested distributions, from adjusted closing prices.

Price History

Price history is being compiled for this fund.

Top Holdings

Adaptive Biotechnologies Corp 2.03%
Vertex Inc 2.03%
Lightpath Technologies Inc. 2.03%
Viavi Solutions Inc 2.02%
EZCORP Inc. 2.02%
The Realreal Inc 2.02%
Marqeta Inc 2.01%
United Natural Foods, Inc. 2.01%
International Business Machines Corp. 2.01%
Star Bulk Carriers Corp. 2.01%
Micron Technology Inc. 2.01%
Viatris Inc 2.01%
Bristol-Myers Squibb Company 2.01%
Broadridge Financial Solutions Inc. 2.01%
Credo Technology Group Holding Ltd 2.01%
Agnico Eagle Mines Ltd 2.01%
Zoetis Inc. 2.01%
Genpact Ltd. 2.01%
Leidos Holdings Inc 2.01%
SPS Commerce Inc 2.01%
Monster Beverage Corp 2.01%
Teradata Corp 2.01%
The J M Smucker Company 2.00%
Automatic Data Processing, Inc. 2.00%
Eli Lilly & Co. 2.00%

Top 25 holdings as of Mar 31, 2026 · source: SEC N-PORT. Full holdings & prospectus →

About CPAI

The Adviser actively manages the Fund’s portfolio by using a quantitative,model-based approach to security selection. Under normal market circumstances, the Fund invests at least 80% of its assets (plus theamount of borrowings, if any) in common stocks and American Depositary Receipts (“ADRs”). The Fund holds at least 50 U.S.listed stocks or American Depository Receipts (“ADRs”). The stocks selected are among the highest-ranking stocks as determinedby quantitative models. Thequantitative approach uses results from the Counterpoint Machine Learning Model™ to rank stocks of U.S. domiciled companiesand ADRs of any market capitalization. Machine learning is a type of artificial intelligence (“A.I.”) that finds relationshipsbetween variables and outcomes, and uncovers interactions between multiple variables. The Fund’s models use over 40 variables asinputs. These variables revolve around themes of value, long-term reversal, stock price momentum, company profitability, investor sentimenttoward the company, and stock price stability. Ifthe Adviser’s research indicates that a specific combination of variables would have improved the accuracy of the model’spredictions, then the Adviser will use that combination of variables going forward if supported by economic reasons and/or investor behavioralbiases. Themodels use these variables and identify generalized relationships between historic realized stock returns and the values of those variables.The learned relationship between the input variables and the realized historic returns is updated between portfolio rebalances, allowingthe models to adjust to changing market conditions. The models rank the stocks based on their expected future performance. At least everyquarter, the Adviser rebalances the portfolio based on the stocks’ current rankings. The Adviser adjusts the output from the modelto limit the maximum exposure to any one sector to 35% or less of the Fund’s net assets. The Fund will not invest more than 25%of its net assets in any one industry or group of industries within a sector.

CPAI News

Data for CPAI is aggregated from third-party providers (Tiingo, Nasdaq, Finnhub) and SEC filings, may be delayed at least 20 minutes, and may be incomplete or contain errors. Nothing here is investment advice. Verify with the official prospectus before investing.