ArticleEntropy (Basel, Switzerland)2025
Information Theory Quantifiers in Cryptocurrency Time Series Analysis.
Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Geodesic Execution Slippage: A Statistical Physics Framework for Cryptocurrency Liquidity Risk.Entropy (Basel, Switzerland) · 2026Article
- Cellular Mechanisms Underlying Endothelial and Histopathological Alterations Induced by Cerebral Angiography.Journal of clinical medicine · 2026Review
- Nonlinear Dynamics and Applications.Entropy (Basel, Switzerland) · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper investigates the temporal evolution of cryptocurrency time series using information measures such as complexity, entropy, and Fisher information. The main objective is to differentiate between various levels of randomness and chaos. The methodology was applied to 176 daily closing price time series of different cryptocurrencies, from October 2015 to October 2024, with more than 30 days of data and not completely null. Complexity-entropy causality plane (CECP) analysis reveals that daily cryptocurrency series with lengths of two years or less exhibit chaotic behavior, while those longer than two years display stochastic behavior. Most longer series resemble colored noise, with the parameter
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Registered trials
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