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Classification-based financial markets prediction using deep neural networks

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Publication:4586450
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DOI10.3233/AF-170176zbMath1419.91611arXiv1603.08604OpenAlexW3124849400MaRDI QIDQ4586450

Jin Hoon Bang, Diego Klabjan, Matthew F. Dixon

Publication date: 13 September 2018

Published in: Algorithmic Finance (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.08604


zbMATH Keywords

deep neural networksfinancial markets predictionFX futures


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Derivative securities (option pricing, hedging, etc.) (91G20) Software, source code, etc. for problems pertaining to game theory, economics, and finance (91-04)


Related Items (4)

A deep learning approach to estimating fill probabilities in a limit order book ⋮ Reachability in Simple Neural Networks ⋮ Reachability is NP-complete even for the simplest neural networks ⋮ Deep learning for limit order books


Uses Software

  • Python






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