Financial Data Resampling for Machine Learning Based Trading: Application to Cryptocurrency Markets - SpringerBriefs in Applied Sciences and Technology - Tome Almeida Borges - Bøger - Springer Nature Switzerland AG - 9783030683788 - 23. februar 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.

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 23. februar 2021
ISBN13 9783030683788
Forlag Springer Nature Switzerland AG
Antal sider 93
Mål 155 × 233 × 10 mm   ·   186 g
Sprog Tysk