Key Takeaways
- • Counterpoint Quantitative Equity ETF (CPAI) trades at approximately $45.68 per share (as of April 16, 2026), with a net asset value of $217.48M and a 52-week trading range of $30.09–$45.72.
- • The fund employs machine learning-driven quantitative models to select U.S. stocks and American Depositary Receipts across all market capitalizations, with a mandate to hold at least 50 U.S.-listed securities and maintain 80%+ in equities under normal circumstances.
- • Year-to-date performance shows a 13.92% total return with an expense ratio of 0.75%, a dividend yield of 0.86%, and a trailing price-to-earnings multiple of 25.12 (as of mid-April 2026).
- • The fund was launched November 28, 2023, classifying it as a mid-cap blend actively managed ETF with an inception-to-date track record of approximately 2.5 years by April 2026.
- • Average daily trading volume of approximately 50,690–68,570 shares provides institutional liquidity with a beta of 0.00, indicating low systematic market correlation relative to broader equity benchmarks.
Summary
The Counterpoint Quantitative Equity ETF (CPAI) represents an actively managed equity strategy leveraging artificial intelligence and machine learning models to identify and rank U.S. equities. The fund employs a systematic, quantitative approach designed to achieve long-term capital appreciation by selecting stocks from companies of any market capitalization based on algorithmic analysis and predictive modeling. This distinguishes CPAI from traditional passive index-tracking ETFs, positioning it as a tactical alternative for institutional investors seeking algorithmic stock selection discipline.
As of mid-April 2026, CPAI trades near its 52-week high of $45.72, with the fund maintaining net assets of $217.48M. The trading metrics reflect a liquid, moderately-traded instrument with average daily volumes exceeding 50,000 shares, adequate for institutional allocation. The fund's expense ratio of 0.75% is competitive within the actively managed ETF space, while its dividend yield of 0.86% remains modest. The trailing P/E ratio of 25.12 suggests exposure to growth-oriented equities relative to historical market averages, consistent with a quantitative growth methodology.
Performance data through April 2026 demonstrates year-to-date gains of 13.92% on a total return basis. The fund's zero-correlation beta (5-year monthly) indicates portfolio construction that diversifies away from systematic market risk, a key characteristic for institutional portfolios seeking non-correlated alpha generation. The fund's inception date of November 28, 2023, provides approximately 2.5 years of operating history by the April 2026 observation date, offering sufficient performance data for institutional evaluation.
CPAI's investment mandate requires minimum allocation to 50 U.S.-listed common stocks and ADRs, with at least 80% of assets deployed in equities under normal market conditions. The quantitative framework ranks candidates using machine learning technology applied to U.S. domiciled companies across all market capitalizations, with communication services comprising 7.71% of sector exposure as of mid-April 2026. This systematic, rules-based construction methodology appeals to institutional investors prioritizing disciplined, emotion-neutral stock selection processes over traditional fundamental analysis.
As of mid-April 2026, CPAI trades near its 52-week high of $45.72, with the fund maintaining net assets of $217.48M. The trading metrics reflect a liquid, moderately-traded instrument with average daily volumes exceeding 50,000 shares, adequate for institutional allocation. The fund's expense ratio of 0.75% is competitive within the actively managed ETF space, while its dividend yield of 0.86% remains modest. The trailing P/E ratio of 25.12 suggests exposure to growth-oriented equities relative to historical market averages, consistent with a quantitative growth methodology.
Performance data through April 2026 demonstrates year-to-date gains of 13.92% on a total return basis. The fund's zero-correlation beta (5-year monthly) indicates portfolio construction that diversifies away from systematic market risk, a key characteristic for institutional portfolios seeking non-correlated alpha generation. The fund's inception date of November 28, 2023, provides approximately 2.5 years of operating history by the April 2026 observation date, offering sufficient performance data for institutional evaluation.
CPAI's investment mandate requires minimum allocation to 50 U.S.-listed common stocks and ADRs, with at least 80% of assets deployed in equities under normal market conditions. The quantitative framework ranks candidates using machine learning technology applied to U.S. domiciled companies across all market capitalizations, with communication services comprising 7.71% of sector exposure as of mid-April 2026. This systematic, rules-based construction methodology appeals to institutional investors prioritizing disciplined, emotion-neutral stock selection processes over traditional fundamental analysis.
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