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Machine Learning Methods in Algorithmic Trading Strategy Optimization – Design and Time Efficiency

Przemysław Ryś

Przemysław Ryś

Quantitative Finance Research Group, Faculty of Economic Sciences, University of Warsaw and Labyrinth HF projectWarsaw, Poland
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Ryś, Przemysław
 e 
Robert Ślepaczuk

Robert Ślepaczuk

  • Quantitative Finance Research Group, Faculty of Economic Sciences, University of Warsaw and Labyrinth HF projectWarsaw, Poland
  • The views presented in this text are those of the authors and do not necessarily represent those of Circus Consulting Group nor LHF projectWarsaw, Poland
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Ślepaczuk, Robert
  
09 ago 2019
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Pubblicato online: 09 ago 2019
Pagine: 206 - 229
DOI: https://doi.org/10.1515/ceej-2018-0021
Parole chiave
© 2018 P. Ryś, R. Ślepaczuk, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Ryś, Przemysław
Quantitative Finance Research Group, Faculty of Economic Sciences, University of Warsaw and Labyrinth HF projectWarsaw, Poland
Ślepaczuk, Robert
Quantitative Finance Research Group, Faculty of Economic Sciences, University of Warsaw and Labyrinth HF projectWarsaw, Poland
The views presented in this text are those of the authors and do not necessarily represent those of Circus Consulting Group nor LHF projectWarsaw, Poland
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Economia e business, Economia politica, Teoria economica, sistemi e strutture, Microeconomia, Macroeconomia, Politica economica
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