Financial Data Resampling Machine by Borges Tomé (9 results)
Financial Data Resampling for Machine Learning Based Trading : Application to Cryptocurrency Markets
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Financial Data Resampling for Machine Learning Based Trading : Application to Cryptocurrency Markets
- Softcover
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Paperback. Condition: Brand New. 112 pages. 9.25x6.10x0.27 inches. In Stock.
Financial Data Resampling for Machine Learning Based Trading | Application to Cryptocurrency Markets
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Financial Data Resampling for Machine Learning Based Trading | Application to Cryptocurrency Markets | Tomé Almeida Borges (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xv | Englisch | 2021 | Springer | EAN 9783030683788 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…
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Financial Data Resampling for Machine Learning Based Trading : Application to Cryptocurrency Markets
- Softcover
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Seller: Chiron Media, Wallingford, United KingdomChiron Media
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PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a framework consisting of several supervised machine learning procedures to trade in the Cryptocurrencies Market Compares the performance of 5 different forecasting trading signals among themselves and with a Buy and Hold stra.…
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.…
