Anomaly prediction in XRP price with topological features

2026/03/05 by Illia Donhauzer, Pierluigi Cesana, Tomoyuki Shirai +1 · 1 voice
Economics, Econometrics and Finance · #q-fin.ST

paper · pdf

arxiv published 2026/03/05 · arxiv updated 2026/03/20

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.

Citations

• ChainNet: Learning on Blockchain Graphs with Topological Features
• A Unified Approach to Interpreting Model Predictions
• Linear-Size Approximations to the Vietoris-Rips Filtration

Discussions

• Illia Donhauzer, Pierluigi Cesana, Tomoyuki Shirai, Yuichi Ikeda: Anomaly prediction in XRP price with topological features https://arxiv.org/abs/2603.18021 https://arxiv.org/pdf/2603.18021 https://ar [bsky, 0 points, 0 comments]

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