FINQ has reported since-inception returns of 23.51% for the FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF (AIUP) and 23.83% for the FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF (AINT), measured against a return of 11.61% for the S&P 500 over the same window. Both funds began trading on NYSE Arca on February 5, 2026. The figures are current as of August 31, 2026. The company believes it can continue to build on its early gains following the February launch.
The Reported Figures
The performance table sets out four data points for each fund. AIUP returned 23.51% since inception against the S&P 500’s 11.61%, closing the period with a net asset value of $29.97 and a market price of $29.99. AINT returned 23.83% against the same 11.61% benchmark figure, with a net asset value of $30.97 and a market price of $30.96.
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. For both funds, the two values sit within two cents of each other at the close of the reporting period.
Month-End Records Since February
FINQ also reported the pattern of results across individual month-ends rather than only the cumulative figure. 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.
That distinction shapes how the two records read. AIUP’s advantage has been present at each measurement point from the beginning. AINT established its lead after an initial launch month and has held it at each subsequent month-end.
Seven month-ends fall inside the reporting window, running from the end of February through the end of August. The company reports outperformance at all of them for AIUP and at all but the first for AINT, and describes that momentum as its proprietary AI framework at work across both products.
Two Approaches, One Ranking System
AIUP is FINQ’s long-only U.S. large-cap equity ETF. It has continued to outperform the benchmark while maintaining broad exposure to its top-ranked companies.
AINT is FINQ’s dollar-neutral strategy. It has been buying the top-ranked and selling short the lowest-ranked in its relative ranking AI model. After an initial launch month, the ETF has consistently outperformed the S&P 500, which the company describes as further demonstrating the adaptability of its AI framework.
Both funds draw on the same underlying system. 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. 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.
A U.S. Regulatory First
AIUP and AINT are the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence. That status applies to both products and dates from their launch on NYSE Arca earlier in 2026.
FINQ is an AI-driven asset management company focused on building autonomous investment products powered by proprietary artificial intelligence technology, and its proprietary AI system systematically evaluates vast amounts of financial and market data of each index participant in real time. That evaluation enables the ETFs to dynamically adjust holdings based on evolving market conditions.
Comment From FINQ’s Chief Executive
“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.”
The company frames the latest results as further evidence of its AI-managed strategies’ outperformance versus traditional benchmarks in evolving market conditions since inception.
