Modeling Daily Financial Market Data by Using Tree-Based Genetic Programming
Abstract
A behavioral modeling of financial markets based on daily data is not an easy problem for machine learning algorithms. The social and physiological factors can take effect on market data and result in significant uncertainty in data. This study demonstrat
URI
https://doi.org/10.1109/ICIT52682.2021.9491652http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12646
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