Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets

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Hauptverfasser: Borges, Tomé Almeida (VerfasserIn), Neves, Rui (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cham Springer International Publishing 2021
Cham Springer
Ausgabe:1st ed. 2021
Schriftenreihe:SpringerBriefs in Computational Intelligence
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Datensatz im Suchindex

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spellingShingle Borges, Tomé Almeida
Neves, Rui
Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets
Computational Mathematics and Numerical Analysis
Computer mathematics
title Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets
title_auth Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets
title_exact_search Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets
title_full Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets by Tomé Almeida Borges, Rui Neves
title_fullStr Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets by Tomé Almeida Borges, Rui Neves
title_full_unstemmed Financial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets by Tomé Almeida Borges, Rui Neves
title_short Financial Data Resampling for Machine Learning Based Trading
title_sort financial data resampling for machine learning based trading application to cryptocurrency markets
title_sub Application to Cryptocurrency Markets
topic Computational Mathematics and Numerical Analysis
Computer mathematics
topic_facet Computational Mathematics and Numerical Analysis
Computer mathematics
url https://doi.org/10.1007/978-3-030-68379-5
work_keys_str_mv AT borgestomealmeida financialdataresamplingformachinelearningbasedtradingapplicationtocryptocurrencymarkets
AT nevesrui financialdataresamplingformachinelearningbasedtradingapplicationtocryptocurrencymarkets