Artificial intelligence is being positioned by FINQ not simply as a tool for analyzing investment information, but as the engine behind the investment decision itself. The company’s latest results show its two AI-managed ETFs continuing to outperform the S&P 500 several months after their launch.
Through August 31, AIUP had generated a 23.51% return since its February 5, 2026 inception, while AINT had returned 23.83%. The S&P 500 returned 11.61% during the same period.
Both funds began trading on NYSE Arca in February, giving FINQ an opportunity to put its proprietary AI investment framework into practice in live markets.
AI at the Center of Portfolio Management
The foundation of FINQ’s strategy is a system designed to autonomously rank, select and weight companies within an index.
According to the company, its proprietary AI evaluates large amounts of financial and market data for each index participant in real time. Holdings can then be dynamically adjusted according to changing market conditions.
FINQ says the framework is designed to identify market opportunities with speed and precision that traditional human-managed models cannot replicate. The company’s latest performance announcement points to the consistency of the results as an important part of that argument.
AIUP has outperformed the S&P 500 at every month-end since its inception. AINT has done so in every month except its first month of trading.
Different Strategies, Common Technology
While the two ETFs share FINQ’s underlying AI framework, they use different approaches to the market.
AIUP is a long-only U.S. large-cap equity ETF that maintains broad exposure to companies receiving the highest rankings from the AI system. AINT is structured as a dollar-neutral strategy, buying the highest-ranked companies and selling short those at the bottom of its relative-ranking model.
That means the technology is being applied to both a long-only strategy and a strategy that combines long positions with short selling.
As of August 31, AIUP had a NAV of $29.97 and a market price of $29.99. AINT’s NAV stood at $30.97, with a market price of $30.96.
The Autonomous Investing Thesis
The performance has also become part of FINQ’s larger argument about the role of AI in asset management. Eldad Tamir, the company’s founder and CEO, said the results demonstrate what he sees as the technology’s ability to operate across changing market environments.
“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.”
FINQ says AIUP and AINT are the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence.
An Early Measure of the Model
The latest performance numbers provide a relatively early measure of FINQ’s autonomous investment model. Since February 5, both ETFs have produced returns substantially above the S&P 500, while maintaining distinct portfolio strategies.
FINQ’s investment process is designed around continuous analysis and machine-driven decision-making, with the goal of adapting portfolios as market conditions evolve.
The company nevertheless emphasizes that the reported performance represents past performance and is not a guarantee of future results. Investment returns and principal values will fluctuate, and investors may receive more or less than their original investment when shares are redeemed.
For FINQ, the August results mark another step in testing whether artificial intelligence can move beyond assisting investment professionals and instead manage investment products directly.
