Financial technology (Fintech) has been applied to business models in the financial services sector. Associated with this has been the rise of regulatory technology (Regtech) in that sector. However, the major application of Regtech in financial services is as a tool for regulatory compliance, rather than for regulatory enforcement. This article explores an approach to applying Regtech techniques to antitrust enforcement. It does this by applying those techniques to the detection of resale price maintenance (vertical price fixing). The exploration is limited to pricing on e-commerce platforms such as AliExpress, eBay, and Amazon Marketplace. The Regtech application is effected by presenting the literature and cases on resale price maintenance and the application of the law in Australia, the US, and the EU. The article examines the application of machine learning in the Regtech environment and the ways in which application programming interfaces could be used. The article proposes approaches to machine learning solutions for the detection of potentially infringing resale price maintenance conduct. It also presents the basis of an algorithm for detecting that conduct.

中文翻译：

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Regtech作为反托拉斯执法工具

金融技术（Fintech）已应用于金融服务领域的业务模型。与此相关的是该领域监管技术（Regtech）的兴起。但是，Regtech在金融服务中的主要应用是作为合规性的工具，而不是法规执行的工具。本文探讨了将Regtech技术应用于反托拉斯执法的方法。它通过将这些技术应用于转售价格维持（垂直定价）检测来实现此目的。探索仅限于在速卖通，eBay和亚马逊商城等电子商务平台上定价。Regtech的应用是通过介绍有关转售价格维持的文献和案例以及澳大利亚，美国和欧盟的法律适用来实现的。本文研究了Regtech环境中机器学习的应用以及应用程序编程接口的使用方式。本文提出了一种机器学习解决方案的方法，用于检测潜在的侵权转售价格维护行为。它还提供了用于检测该行为的算法的基础。