Financial Data Resampling for Machine Learning Based Trading
Financial Data Resampling for Machine Learning Based Trading
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 sui
BORGES, TOME ALMEIDA,NEVES, RUI
Financial Data Resampling for Machine Learning Based Trading
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 sui
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9783030683788Mladinska knjiga ID
9783030683788Leto izida
2021Datum izida
23.02.2021Število strani
93Status dobavljivosti
7-10 delovnih dniZbirka
SpringerBriefs in Applied Sciences and TechnologyZaložnik
Springer Nature Switzerland AGAvtor
Borges, Tome Almeida,Neves, RuiDimenzije
233 x 155 x 10BIC
PBKSOpis
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.Pogosto kupljeno skupaj
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