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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
Tome Almeida Borges
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 | Kirjat Paperback Book (Kirja pehmeillä kansilla ja liimatulla selällä) |
| Julkaisupäivämäärä | tiistai 23. helmikuuta 2021 |
| ISBN13 | 9783030683788 |
| Tuottaja | Springer Nature Switzerland AG |
| Sivujen määrä | 93 |
| Mitta | 155 × 233 × 10 mm · 186 g |
| Kieli | German |
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