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Anomaly prediction in XRP price with topological features

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Listed:
  • Illia Donhauzer
  • Pierluigi Cesana
  • Tomoyuki Shirai
  • Yuichi Ikeda

Abstract

The aim of this research is to study XRP cryptoasset price dynamics, with a particular focus on forecasting atypical price movements. Recent studies suggest that topological properties of transaction graphs are highly informative for understanding cryptocurrency price behavior. In this work, we show that specific topological properties of the XRP transaction graphs provide important information about extreme XRP price surges, and can be used for more competitive prediction of anomalous price dynamics.

Suggested Citation

  • Illia Donhauzer & Pierluigi Cesana & Tomoyuki Shirai & Yuichi Ikeda, 2026. "Anomaly prediction in XRP price with topological features," Papers 2603.18021, arXiv.org, revised Mar 2026.
    • Handle: RePEc:arx:papers:2603.18021
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    File URL: http://arxiv.org/pdf/2603.18021
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    References listed on IDEAS

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    1. Hideaki Aoyama & Yoshi Fujiwara & Yoshimasa Hidaka & Yuichi Ikeda, 2022. "Cryptoasset networks: Flows and regular players in Bitcoin and XRP," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-23, August.
    2. Abhijit Chakraborty & Tetsuo Hatsuda & Yuichi Ikeda, 2022. "Projecting XRP price burst by correlation tensor spectra of transaction networks," Papers 2211.03002, arXiv.org, revised May 2023.
    3. Chakraborty, Abhijit & Hatsuda, Tetsuo & Ikeda, Yuichi, 2024. "Dynamic relationship between the XRP price and correlation tensor spectra of transaction networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
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