Neural Networks for Cryptocurrency Evaluation and Price Fluctuation Forecasting

DOI10.1007/978-3-030-37110-4_10zbMath1442.62735OpenAlexW3005596121MaRDI QIDQ3294790

Apostolos Florakis, Emmanouil Christoforou, Ioannis Z. Emiris

Publication date: 29 June 2020

Published in: Mathematical Research for Blockchain Economy (Search for Journal in Brave)

Full work available at URL: https://hal.inria.fr/hal-03116041/file/marble2020inria.pdf

zbMATH Keywords

neural networkdeep learningblockchaincryptocurrencyfeature importancecoin featuresprice variation prediction

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Neural nets and related approaches to inference from stochastic processes (62M45) Financial networks (including contagion, systemic risk, regulation) (91G45)

Uses Software

• TensorFlow

Cites Work

• Unnamed Item
• Cryptocurrency forecasting with deep learning chaotic neural networks

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