Optimal Settings of Cryptocurrency Trading Pairs

Di Zhang*, Youzhou Zhou, Hengyan Liu, Bintao Hu, Wenzhang Zhang, Angelos Stefanidis

*Corresponding author for this work

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

Abstract

The goal of cryptocurrencies is decentralization, but it is impractical to set up a trading market between every two currencies. To solve this optimization problem, we use a two-stage process: 1) Fill in missing values based on a regularized, truncated eigenvalue decomposition, where the regularization term is used to control what extent missing values should be limited to zero. 2) Search for the optimal trading pairs, based on a branch and bound process, with heuristic search and pruning strategies.The experimental results show that: 1) If the number of denominated coins is not limited, we will get a more decentralized trading pair setting, which advocates the establishment of trading pairs directly between large currency pairs. 2) There is a certain room for optimization in all exchanges. The setting of inappropriate trading pairs is mainly caused by subjectively setting small coins to quote or failing to track emerging big coins in time. 3) Too few trading pairs will lead to low coverage; too many trading pairs will need to be adjusted with markets frequently. Exchanges should consider striking an appropriate balance between them.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-24
Number of pages6
ISBN (Electronic)9798350362954
DOIs
Publication statusPublished - 2024
Event6th IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2024 - Shanghai, China
Duration: 15 Jul 202418 Jul 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2024

Conference

Conference6th IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2024
Country/TerritoryChina
CityShanghai
Period15/07/2418/07/24

Keywords

  • Branch and Bound
  • Cryptoconcurrency
  • Eigendecomposition
  • Interior-point Method

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