The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data

Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans Arno Jacobsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The DEBS Grand Challenge (GC) is an annual programming competition open to practitioners from both academia and industry. The GC 2022 edition focuses on real-time complex event processing of high-volume tick data provided by Infront Financial Technology GmbH. The goal of the challenge is to efficiently compute specific trend indicators and detect patterns in these indicators like those used by real-life traders to decide on buying or selling in financial markets. The data set Trading Data used for benchmarking contains 289 million tick events from approximately 5500+ financial instruments that had been traded on the three major exchanges Amsterdam (NL), Paris (FR), and Frankfurt am Main (GER) over the course of a full week in 2021. The data set is made publicly available. In addition to correctness and performance, submissions must explicitly focus on reusability and practicability. Hence, participants must address specific nonfunctional requirements and are asked to build upon open-source platforms. This paper describes the required scenario and the data set Trading Data, defines the queries of the problem statement, and explains the enhancements made to the evaluation platform Challenger that handles data distribution, dynamic subscriptions, and remote evaluation of the submissions.

Original languageEnglish
Title of host publicationDEBS 2022 - Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems
EditorsYongluan Zhou, Panos K. Chrysanthis, Vincenzo Gulisano, Eleni Tzirita Zacharatou
PublisherAssociation for Computing Machinery, Inc
Pages132-138
Number of pages7
ISBN (Electronic)9781450393089
DOIs
StatePublished - 27 Jun 2022
Event16th ACM International Conference on Distributed and Event-Based Systems, DEBS 2022 - Virtual, Online, Denmark
Duration: 27 Jun 202230 Jun 2022

Publication series

NameDEBS 2022 - Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems

Conference

Conference16th ACM International Conference on Distributed and Event-Based Systems, DEBS 2022
Country/TerritoryDenmark
CityVirtual, Online
Period27/06/2230/06/22

Keywords

  • Event processing
  • data streaming
  • technical analysis
  • trading

Fingerprint

Dive into the research topics of 'The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data'. Together they form a unique fingerprint.

Cite this