Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction

Chen Chi
Chen Chi
Cao Wei
Cao Wei
Bian Jiang
Bian Jiang
Xing Chunxiao
Xing Chunxiao
Cited by: 0|Bibtex|Views9
Other Links: arxiv.org

Abstract:

Nowadays, machine learning methods have been widely used in stock prediction. Traditional approaches assume an identical data distribution, under which a learned model on the training data is fixed and applied directly in the test data. Although such assumption has made traditional machine learning techniques succeed in many real-world ...More

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