Idiosyncrasies and challenges of data driven learning in electronic trading
classification
💱 q-fin.TR
q-fin.CP
keywords
challengesidiosyncrasieslearningapproachesdatadrivenelectronicface
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We outline the idiosyncrasies of neural information processing and machine learning in quantitative finance. We also present some of the approaches we take towards solving the fundamental challenges we face.
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