• Corpus ID: 238857053

Ordinal Synchronization and Typical States in High-Frequency Digital Markets

@inproceedings{Perez2021OrdinalSA,
  title={Ordinal Synchronization and Typical States in High-Frequency Digital Markets},
  author={Mario L'opez P'erez and Ricardo Mansilla},
  year={2021}
}
In this paper we show, through the study of ordinal patterns, information theoretic and network measures and clustering algorithms, the presence of typical states in automated high-frequency records during a one-year period in the US stock market, characterized by their degree of centralized or descentralized synchronicity. We also find two whole coherent seasons of highly centralized and descentralized synchronicity, respectively. Keywords— Ordinal Patterns, High-Frequency Trading, Algorithmic… 

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