Financial Data Resampling for Machine Learning Based Trading: Application to Cryptocurrency Markets - SpringerBriefs in Applied Sciences and Technology - Tome Almeida Borges - Books - Springer Nature Switzerland AG - 9783030683788 - February 23, 2021
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Financial Data Resampling for Machine Learning Based Trading: Application to Cryptocurrency Markets - SpringerBriefs in Applied Sciences and Technology 1st ed. 2021 edition

Tome Almeida Borges

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Financial Data Resampling for Machine Learning Based Trading: Application to Cryptocurrency Markets - SpringerBriefs in Applied Sciences and Technology 1st ed. 2021 edition

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.

93 pages, 28 Illustrations, color; 2 Illustrations, black and white; XV, 93 p. 30 illus., 28 illus.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released February 23, 2021
ISBN13 9783030683788
Publishers Springer Nature Switzerland AG
Pages 93
Dimensions 155 × 233 × 10 mm   ·   186 g
Language German  

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