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This article (the “Article”) is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to purchase any investment or any securities. This Article does not constitute investment advice and is not intended to be relied upon as the basis for an investment decision, and is not, and should not be assumed to be, complete. Readers should make their own investigations and evaluations of the information contained herein. The information contained herein does not take into account the particular investment objectives or financial circumstances of any specific person or entity who may receive it. Each reader should consult its own attorney, business adviser and tax adviser as to legal, business, tax and related matters concerning the information contained herein.  Except where otherwise indicated herein, the information provided herein is based on matters as they exist as of the date of preparation and not as of any future date and will not be updated or otherwise revised to reflect information that subsequently becomes available, or circumstances existing or changes occurring after the date of preparation. Certain information contained in this Article constitutes “forward-looking statements,” which can be identified by the use of forward-looking terminology such as “may,” “will,” “should,” “expect,” “anticipate,”  “target,” “project,” “estimate,” “intend,” “continue” or “believe,” or the negatives thereof or other variations thereon or comparable terminology. Due to various risks and uncertainties, actual events or results may differ materially from those reflected or contemplated in such forward-looking statements. Readers should not rely on these forward-looking statements.  Certain information reflects subjective determinations which may prove to be incorrect. There can be no assurance that the estimates or projections will be accurate or that historical trends will continue. In considering the prior performance information contained herein, readers should bear in mind past performance is not necessarily indicative of future results. All rights reserved. The material may not be reproduced or distributed, in whole or in part, without the prior written permission of PrimeAlpha LLC.

    • Mar 15, 2019

Artificial Intelligence Investing

Artificial Intelligence Investing

Quantitative and fundamental techniques are not competitors, but rather are two different languages trying to tell the same story.


The integration of artificial intelligence (AI) in investment management is refining traditional strategies by emphasizing precise AI usage to complement human judgment. The "Quantamental" approach merges quantitative analysis with fundamental insights, enhancing decision-making through a synergy of data and expertise, which allows for a deeper understanding of market dynamics.


While AI excels at processing extensive data sets and identifying patterns, it lacks the nuanced understanding needed for complex financial environments. Human oversight remains crucial; the balanced role of AI ensures that technology aids but does not replace strategic human input.


Access the entire article to gain a deeper understanding of how the boundaries between quantitative and fundamental investing have become increasingly blurred, leading to the emergence of a new style known as Quantamental. This approach offers unique insights and opportunities for portfolio differentiation.



If you do not have a work email address, please email us at info@primealpha.com and we can email you the report directly.



Table of Contents

  • Introduction to Artificial Intelligence Investing

  • Human VS Machine

  • Positive Attributes of the Quantitative Approach

  • Spurious Data Relationships

  • Why the Rise of the Machine

  • Rooting for the Innovative Quantimental Manager




Thanks to our Contributor


Signum Investments


Signum Investments is a San Francisco-based Core US Equity long/short fund manager launched in 2015 that applies quantitative and machine learning techniques to traditional fundamental active management.

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