FINQ’s AI-Managed ETFs Are On Fire: Returning 15.67% and 19.05% Since Launch

New York, USA, August 3rd, 2026, FinanceWire

Artificial intelligence has spent years helping investors analyze information. FINQ is taking a different approach, putting AI at the center of the investment decision-making process through two exchange-traded funds that have outperformed the S&P 500 since their February inception.

As of July 31, 2026, the FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF (AIUP) had generated a 15.67% return since February 5. The FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF (AINT) had returned 19.05% over the same period. By comparison, the S&P 500 returned 8.69%.

The figures mark an early performance milestone for FINQ, whose two ETFs launched on NYSE Arca in February. The company says both funds are fully managed by artificial intelligence through its proprietary AI framework.

From Analysis to Action

FINQ’s model is designed to move AI beyond simply supplying information to investors. Its proprietary system is built to autonomously rank, select and weight the participants of an index, using financial and market data to inform portfolio decisions.

The company says its AI system evaluates vast amounts of financial and market data for each index participant in real time. The ETFs can then dynamically adjust their holdings as market conditions evolve.

That process is applied differently across the two funds.

AIUP is a long-only U.S. large-cap equity ETF that maintains broad exposure to its top-ranked companies. AINT, on the other hand, uses a dollar-neutral strategy that buys the companies ranked highest by FINQ’s relative-ranking AI model and sells short those ranked lowest.

The two strategies have produced different returns, but both have exceeded the S&P 500 since inception. FINQ says AIUP has outperformed the benchmark at every month-end since its launch, while AINT has done so in every month except its first month of trading.

What the Numbers Show

The performance figures offer a snapshot of how the funds have fared during their first several months on the market.

AIUP's 15.67% return since inception compares with the S&P 500’s 8.69% return. As of July 31, the ETF had a NAV of $28.09 and a market price of $28.08.

AINT recorded the higher return of the two funds at 19.05%. Its NAV stood at $29.74, while its market price was $29.76.

The results are notable within FINQ’s broader strategy because the two funds are not simply variations of the same portfolio. Their investment structures allow the company to apply its AI framework to both long-only equity exposure and a dollar-neutral strategy that combines buying and short selling.

For Eldad Tamir, founder and CEO of FINQ, the early performance reflects the potential of 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.”

Testing the Autonomous Investment Thesis

FINQ describes AIUP and AINT as the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence. The company’s focus is on developing AI-managed ETFs and financial solutions designed to adapt to changing market conditions through continuous machine-driven analysis and decision-making.

The funds' performance should nevertheless be viewed in the context of their relatively short histories. FINQ notes that past performance is not a guarantee of future results, and that investment return and principal value will fluctuate. Shares may ultimately be worth more or less than their original cost when redeemed, and current performance may be higher or lower than the quoted figures.

For now, however, the two ETFs provide FINQ with an early demonstration of its approach. AIUP and AINT have both exceeded the S&P 500 since inception, while using different strategies to translate the output of an AI-driven ranking system into actual portfolio decisions.

The broader question for FINQ is whether autonomous investing can move from an emerging concept to a durable model for asset management. The company’s first several months in the market suggest an encouraging start, but the longer-term performance of the two funds will ultimately determine how far that thesis can go.

Disclaimer: This article is provided for informational and editorial purposes only and does not constitute investment, financial, legal or tax advice, or an offer, solicitation or recommendation to buy or sell any security. 

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