Idiosyncrasies and challenges of data driven learning in electronic trading

Vangelis Bacoyannis,Vacslav Glukhov,Tom Jin,Jonathan Kochems,Doo Re Song

arXiv: Trading and Market Microstructure（2018）

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摘要

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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