AI that puts the customer at the center

FINQ has developed an AI infrastructure for investment and portfolio management. The system is built specifically for regulated markets, while maintaining full transparency, fairness, and full regulatory compliance.
By combining real-time market data, advanced analytics, and robust control mechanisms, FINQ enables anyone to make informed, data-driven financial decisions that eliminate the inherent biases and cognitive limitations of human financial intermediaries.

FINQ AI Technology

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Learn more about our AI-managed ETFs, including their investment approach, holdings, and performance information.

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How our technology works

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1

Smart data layer – data fabric

  • Broad integration across market data, financial statements, analyst estimates, corporate actions, news, and public sentiment.
  • Institutional-grade data ingestion, normalization, cleaning, and feature engineering at scale.
  • Decomposition of complex financial products and holdings down to the underlying asset level.
  • Enterprise-level information security, data governance, and access controls.
2

FINQ's scoring and prediction engine

  • Daily processing of all inputs to generate relative scores across all 500 leading U.S companies.
  • Multi-factor modeling that evaluates risk, volatility, correlations, and structural exposures.
  • Identification of hidden risks, indirect exposures, and concentration effects not visible in surface-level data.
  • Detection of anomalies, regime shifts, and extreme market events using historical and cross-sectional analysis.
3

Decision and portfolio actions

  • Translation of complex model outputs into clear, comparable signals and rankings.
  • Consistent framework for comparing assets and strategies on a like-for-like basis.
  • Continuous monitoring of model outputs as market data evolves.

AI compliance, ethics, and safety

Full documentation of every data point, model version, and decision made.

Human oversight over all automated decision-making processes.

Bias-prevention and fairness-assurance mechanisms.

Compliance with RIA regulations, information-security, privacy, and regulatory standards in the U.S

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Investment advice is offered through FINQ AI LLC (“FINQ”), a SEC-registered investment advisor. Such registration does not imply a certain level of skill or training and no inference to the contrary should be made. FINQ is wholly owned by FINQ Digital, Ltd. (“FINQ Israel”), an Israeli limited company. Additional information about FINQ is available on the SEC’s website at https://adviserinfo.sec.gov/. FINQ does not provide investment advisory services to individuals and only provides services to other investment advisers and ETFs. This communication does not constitute a recommendation or an offer to buy or sell or a solicitation of an offer to buy or sell any security or investment.
Please note that FINQ and its personnel do not give legal or tax advice. You are advised to seek the advice of a qualified professional prior to making any decision based on any specific information contained herein. The specific tax consequences of any investment or strategy will depend on your specific tax situation.
FINQ serves as a sub-adviser to ETFs managed by Tidal Investments, LLC and distributed by Foreside Fund Services, LLC. Any reference to “FINQ’s ETFs” is a reference to these sub-managed ETFs. FINQ is not affiliated with Tidal Investments, LLC or Foreside Fund Services, LLC. This site is designed for U.S. residents. Non-U.S. residents are subject to country-specific restrictions.
Important Information:
Before investing you should carefully consider the Fund's investment objectives, risks, charges and expenses. This and other information is in the prospectus, a copy of which can be obtained by visiting finqai.com. Please read the prospectus or summary prospectus carefully before you invest.
Fund risks: An investment in the Fund entails risk. The Fund may not achieve its investment objective and there is a risk that you could lose all of your money invested in the Fund. The Fund is not a complete investment program. It is important that investors closely review all of the risks listed below and understand them before making an investment in the Fund.
Equity Market Risk. Common stocks are generally exposed to greater risk than other types of securities, such as preferred stock and debt obligations, because common stockholders generally have inferior rights to receive payment from specific issuers. The equity securities held in the Fund's portfolio may experience sudden, unpredictable drops in value or long periods of decline in value.
Large-Capitalization Investing Risk. The securities of large-capitalization companies may be relatively mature compared to smaller companies and therefore subject to slower growth during times of economic expansion. Large-capitalization companies may also be unable to respond quickly to new competitive challenges, such as changes in technology and consumer tastes.
Limited Holdings Risk. Although the Fund does not intend to concentrate in any particular industry, it will hold a limited number of securities. As a result, it may be more volatile and have a greater risk of loss than more broadly diversified funds.
Sector Focus Risk. The Fund may invest a significant portion of its assets in one or more sectors and as a result will be more susceptible to the risks affecting those sectors. While the Fund's sector exposure is expected to vary over time, the Fund anticipates that it may be subject to some or all of the sector-specific risks: Communications sector, Consumer Discretionary, Finance Sector, Health Care and Technology Sector.
New Fund Risk. The Fund is a recently organized management investment company with no operating history. As a result, prospective investors do not have a track record or history on which to base their investment decisions. There can be no assurance that the Fund will grow to or maintain an economically viable size.
Models and Data Risk. The Sub-Adviser's evaluation of potential Fund portfolio holdings is heavily dependent on proprietary models as well as information and data supplied by third parties (Models and Data). When Models and Data prove to be incorrect or incomplete, any decisions made in reliance thereon may lead to the inclusion or exclusion of securities from the Fund's portfolio that would have been excluded or included had the Models and Data been correct and complete.
Additionally, technology risk arises from the use of computer models and algorithms; any technical failures, coding errors, or cybersecurity breaches could disrupt the Fund's trading activities, potentially leading to significant financial losses and compromised data integrity.
Distributed by Foreside Fund Services, LLC.
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