Rank every company in an index. Select from the ranking. Weight the selections. Do all of it autonomously, in real time, and repeat as conditions change. That is the operating description FINQ gives for the technology behind AIUP and AINT, and as of August 31, 2026 the two ETFs have returned 23.51% and 23.83% respectively since their February 5, 2026 inception, against 11.61% for the S&P 500.
The Framework at the Center
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 scope is worth noting: the framework is applied across all participants, not a screened subset chosen in advance.
The system systematically evaluates vast amounts of financial and market data of each index participant in real time. That continuous evaluation is what enables the ETFs to dynamically adjust holdings based on evolving market conditions. FINQ describes the sustained outperformance as highlighting the framework’s ability to consistently identify and capitalize on market opportunities with speed and precision that traditional human-managed models cannot replicate.
One Model, Two Portfolio Expressions
The same ranking output feeds two distinct fund structures. Their full names state the point: the FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF and the FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF.
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. Its since-inception return is 23.51%, with a net asset value of $29.97 and a market price of $29.99 as of August 31, 2026.
AINT, FINQ’s dollar-neutral strategy, has been buying the top-ranked and selling short the lowest-ranked in its relative ranking AI model. Its since-inception return is 23.83%, with a net asset value of $30.97 and a market price of $30.96.
The design difference is meaningful. AIUP acts on the top of the ranking. AINT acts on both ends of it, using the highest-ranked names on the long side and the lowest-ranked on the short side.
Month-End Behavior
Across the reporting period, 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, and after that initial launch month it has consistently outperformed the S&P 500. FINQ presents that pattern as further demonstrating the adaptability of its AI framework. Seven monthly checkpoints fall inside the window, so the record describes a sequence of outcomes rather than a single cumulative figure. That distinction is what the company means when it refers to consistency.
For readers less familiar with fund reporting, the two price figures answer different questions. 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.
Regulatory Position
AIUP and AINT are the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence. Both trade on NYSE Arca, where they launched on February 5, 2026.
FINQ, an AI-driven asset management company built around proprietary artificial intelligence technology, believes it can continue to build on its early gains following that launch, and frames the latest results as further reflecting its AI-managed strategies’ outperformance versus traditional benchmarks in evolving market conditions since inception.
The firm’s remit extends past the two tickers. It develops AI-managed ETFs and financial solutions designed to adapt to changing market conditions through continuous machine-driven analysis and decision-making, with AIUP and AINT as the products currently carrying that design into public markets.
Executive Perspective
“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.”
