FINQ AIUP and AINT Explained: What Sits Behind Returns of 23.51% and 23.83% Versus the S&P 500's 11.61%

New York, United States, September 7th, 2026, FinanceWire

FINQ's August update contains three percentages and two tickers, and the relationship among them is the whole story. AIUP returned 23.51% since inception. AINT returned 23.83%. The S&P 500 returned 11.61% over the same period, which runs from February 5, 2026 to August 31, 2026. This piece walks through what each of those elements refers to.

Start With the Tickers

AIUP is the FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF. AINT is the FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF. Both launched on NYSE Arca on February 5, 2026, and both are the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence.

The names carry the key distinction. AIUP is long-only. AINT is dollar-neutral. Everything else about their construction runs through the same system.

What Long-Only Means Here

AIUP, FINQ's long-only U.S. large-cap equity ETF, has continued to outperform the benchmark while maintaining broad exposure to its top-ranked companies. In practice that means the fund takes the highest-ranked names from the model and holds them, without a corresponding short book.

As of August 31, 2026, AIUP reported a since-inception return of 23.51%, a net asset value of $29.97, and a market price of $29.99.

What Dollar-Neutral Means Here

AINT, FINQ's dollar-neutral strategy, has been buying the top-ranked and selling short the lowest-ranked in its relative ranking AI model. The structure uses the model's full ordering rather than just its top end.

As of August 31, 2026, AINT reported a since-inception return of 23.83%, a net asset value of $30.97, and a market price of $30.96. After an initial launch month, the ETF has consistently outperformed the S&P 500, which FINQ describes as further demonstrating the adaptability of its AI framework.

NAV and Market Price Are Different Measures

Two price figures appear for each fund, and they are not interchangeable. A fund's NAV is the sum of all its assets less any liabilities, divided by the number of shares outstanding. Market price refers to the most recent price at which the fund traded. NAV describes what the portfolio is worth. Market price describes what the shares last changed hands for.

The Model Underneath Both Funds

FINQ's proprietary AI framework is a systematic approach aimed at beating the indexes by autonomously ranking, selecting, and weighting all participants of an index. Three functions are named there, and each maps to a portfolio decision: which companies look strongest, which of those make the cut, and how much of the portfolio each one receives.

Feeding that process, the proprietary AI system of this AI-driven asset management company systematically evaluates vast amounts of financial and market data of each index participant in real time, enabling the ETFs to dynamically adjust holdings based on evolving market conditions.

The firm builds AI-managed ETFs and financial solutions designed to adapt to changing market conditions through continuous machine-driven analysis and decision-making. AIUP and AINT are the two listed products applying that design, and the company believes it can continue to build on its early gains following the February launch on NYSE Arca.

How the Record Reads Month by Month

AIUP has outperformed the S&P 500 at every month-end since inception. AINT has outperformed the S&P 500 in every month except its first month of trading. Seven month-ends fall inside the window, so each fund's record covers seven separate benchmark comparisons rather than one.

The company states that the sustained outperformance highlights the framework's ability to consistently identify and capitalize on market opportunities with speed and precision that traditional human-managed models cannot replicate.

"These results demonstrate the strength and consistency of our AI framework during dynamic market environments," said Eldad Tamir, founder and CEO of FINQ. "I believe autonomous investing will continue to reshape asset management, and the performance of AIUP and AINT reflects the growing ability of AI to adapt, identify opportunities, and respond to market changes at scale."

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