IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05090282.html
   My bibliography  Save this paper

The Humble Crumble: What Predictive Analytics Can Tell Us About The Market

Author

Listed:
  • Iryna Veryzhenko

    (LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - Cnam - Conservatoire National des Arts et Métiers [Cnam])

  • Laurent Pataillot

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne - EM - EMLyon Business School - CNRS - Centre National de la Recherche Scientifique, IÉSEG School Of Management [Puteaux])

Abstract

This paper examines how the evolution of a protective algorithm, used in conjunction with a physical speed bump by a certain financial exchange (IEX) to deter high-frequency trading, provides a lens to understand changing market dynamics and fairness in modern financial markets. This system aims to protect regular investors by detecting when stock prices are about to change rapidly: without such protection, ultra-fast traders can profit unfairly by acting on price changes microseconds before other market participants can react. Through the analysis of several versions of this "Crumbling Quote Indicator" (CQI), we track how the defenses of the exchange have evolved from statistical predictions to explicit rules about market behavior. The latest version moving to clear, deterministic rules with dynamic adjustments suggests that certain market scenarios have become reliably predictive of adverse price movements. This architectural evolution offers insights into both the changing nature of modern market microstructure and the industry's growing understanding of how to detect and prevent unfair trading advantages. Our findings contribute to the ongoing discussion about market fairness and how technological innovation, specifically predictive analytics, shapes modern market structure.

Suggested Citation

  • Iryna Veryzhenko & Laurent Pataillot, 2025. "The Humble Crumble: What Predictive Analytics Can Tell Us About The Market," Post-Print hal-05090282, HAL.
  • Handle: RePEc:hal:journl:hal-05090282
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-05090282. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.