Artificial intelligence has become increasingly capable of analyzing large volumes of information, but FINQ is applying the technology to a more consequential task: making investment decisions.
The company’s two AI-managed exchange-traded funds have now generated returns above 23% since their February 5, 2026 inception. AIUP returned 23.51% through August 31, while AINT returned 23.83%. The S&P 500 returned 11.61% over the same period.
The results follow the February launch of both ETFs on NYSE Arca and offer an early look at FINQ’s approach to autonomous investing.
From Analysis to Action
FINQ’s proprietary AI framework is designed to do more than analyze market information. The system autonomously ranks, selects and weights participants within an index, creating a process through which the technology directly influences portfolio construction.
According to FINQ, the system evaluates vast amounts of financial and market data for each index participant in real time. The resulting analysis allows the ETFs to dynamically adjust their holdings as market conditions evolve.
That continuous process is central to the company’s investment philosophy. FINQ says its framework is designed to respond to opportunities with speed and precision that traditional human-managed models cannot replicate.
The Technology Powers Two Different Strategies
The company’s two ETFs demonstrate how the same AI framework can be used for different investment approaches.
AIUP is a long-only U.S. large-cap equity ETF focused on broad exposure to its top-ranked companies. AINT, meanwhile, uses a dollar-neutral strategy that buys the companies at the top of the AI model’s relative ranking and sells short the companies ranked lowest.
FINQ says both strategies have demonstrated sustained performance against the S&P 500. AIUP has outperformed the benchmark at every month-end since inception, while AINT has done so in every month except its first month of trading.
The company attributes that performance to the ability of its AI framework to adapt as market conditions change.
Measuring Autonomous Investing
The latest results provide FINQ with a real-world performance record for its technology. As of August 31, AIUP had a NAV of $29.97 and a market price of $29.99. AINT had a NAV of $30.97 and a market price of $30.96.
For founder and CEO Eldad Tamir, the numbers illustrate the potential of a shift toward autonomous investment management.
“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.
The Next Test
FINQ’s latest announcement highlights the potential of machine-driven portfolio management, but the company also emphasizes the limits of the current performance figures.
The returns represent performance since February 5 and therefore cover an early period in the funds’ histories. FINQ cautions that past performance is not a guarantee of future results, and that investment return and principal value will fluctuate.
For now, however, the results provide FINQ with a clear measure of its approach: both AI-managed ETFs have outperformed the S&P 500 since inception, while using different strategies built on the same proprietary AI framework.
As FINQ continues developing autonomous investment products, the performance of AIUP and AINT will serve as an early reference point for the company’s vision of machine-driven asset management.