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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
 and 
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
  
Aug 09, 2019
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Published Online: Aug 09, 2019
Page range: 206 - 229
DOI: https://doi.org/10.1515/ceej-2018-0021
Keywords
© 2018 P. Ryś, R. Ślepaczuk, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Business and Economics, Political Economics, Economic Theory, Systems and Structures, Microeconomics, Macroecomics, Economic Policy
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