FINQ’s AINT ETF Gains 41.56% and AIUP Returns 32.66%, Beating the S&P 500’s 10.96%

New York City, United States, October 15th, 2026, FinanceWire

Investment funds that use artificial intelligence can look similar on the surface, but their strategies can produce meaningfully different results. FINQ’s two AI-managed ETFs illustrate that distinction. One maintains long positions in selected U.S. large-cap stocks, while the other combines buying and short-selling to capitalize on differences in how individual companies rank.

As of September 30, 2026, FINQ reported that its Dollar Neutral U.S. Large Cap AI-Managed U.S. Equity ETF (AINT) had returned 41.56% since its February 5 inception. Its FINQ FIRST U.S. Large Cap AI-Managed U.S. Equity ETF (AIUP) had returned 32.66%. The S&P 500 gained 10.96% over the same period, according to the reported performance figures.

The results put AINT 30.60 percentage points ahead of the benchmark and AIUP 21.70 percentage points ahead. More importantly, the funds provide two distinct examples of how FINQ is applying its proprietary artificial intelligence framework to portfolio construction.

AIUP: An AI-Managed Long-Only Portfolio

AIUP is designed for investors seeking exposure to U.S. large-cap equities through a long-only strategy. Rather than relying on a human portfolio manager to determine which companies deserve the greatest allocation, the fund uses FINQ’s AI system to rank index constituents, select securities, and assign portfolio weights.

The underlying premise is that companies within a major index do not offer equal investment opportunities at any given time. Their prospects, market behavior, and relative attractiveness can change, creating opportunities for a system that continuously evaluates available data.

FINQ says AIUP has outperformed the S&P 500 at every month-end since the fund began trading on February 5, 2026. Its reported 32.66% return through September 30 exceeded the benchmark’s 10.96% gain during the same period.

The strategy remains exposed to the equity market because it holds long positions. Its performance therefore reflects both the system’s stock-selection decisions and the broader conditions affecting U.S. large-cap shares.

AINT: Ranking Winners Against Losers

AINT applies FINQ’s ranking model through a dollar-neutral strategy. It buys the stocks ranked highest by the AI system and sells short those ranked lowest.

Instead of relying solely on the overall direction of the market, this structure aims to benefit from differences in the relative performance of securities. A portfolio can potentially gain from successful long positions and declining short positions, although the outcome depends on how accurately the model identifies those opportunities and how the positions perform.

As of September 30, 2026, AINT’s reported 41.56% return was higher than AIUP’s 32.66%. FINQ also said AINT outperformed the S&P 500 at every month-end except its first month of trading.

The results suggest that the relative-ranking approach has been particularly effective during the funds’ initial months. They do not, however, establish that dollar-neutral investing will always outperform a long-only strategy. Short positions introduce distinct risks, including the possibility of substantial losses if a stock rises rather than falls.

The Technology Behind Both Funds

FINQ attributes the performance of both ETFs to a proprietary AI framework that evaluates financial and market data across index constituents in real time. The system autonomously ranks companies and adjusts holdings based on its assessments of changing conditions.

The company says the funds are the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence. They launched on NYSE Arca in February 2026, positioning FINQ within a developing segment of asset management that seeks to automate decisions traditionally associated with portfolio managers.

The model’s central proposition is that machine-driven analysis can evaluate a broad universe of securities continuously, then translate those rankings into portfolio decisions without human intervention in the investment-management process.

“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.”

What Investors Should Watch Next

The reported results are notable, but both funds have short operating histories. Their performance since February cannot establish how the strategies will behave through a prolonged downturn, a major change in market leadership, or an extended period of volatility.

Investors evaluating the funds will also need to consider their respective structures, risks, fees, and standardized performance disclosures. AINT’s use of short positions makes its risk profile different from AIUP’s, while AIUP remains subject to the risks of holding equities.

Past performance is not a guarantee of future results. Investment returns and principal values fluctuate, and investors may receive more or less than their original investment when shares are sold. Current performance may be higher or lower than the figures reported as of September 30, 2026.

For FINQ, the early performance offers evidence that its AI framework has generated strong results across two different investment approaches. Whether those results prove durable will depend on the funds’ ability to navigate market conditions that have yet to test the strategies over a longer period.

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