Idiosyncrasies and challenges of data driven learning in electronic trading. (arXiv:1811.09549v1 [q-fin.TR])

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.