Anomaly prediction in XRP price with topological features

Illia Donhauzer, Pierluigi Cesana, Tomoyuki Shirai and Yuichi Ikeda

Papers from arXiv.org

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.

Date: 2026-03, Revised 2026-03
New Economics Papers: this item is included in nep-for and nep-pay
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