A discrete stock price prediction engine based on financial news

Robert P. Schumaker, Hsinchun Chen

Research output: Contribution to specialist publicationArticle

40 Scopus citations

Abstract

The Arizona Financial Text system leverages statistical learning to make trading decisions based on numeric price predictions. Research demonstrates that AZFinText outperforms the market average and performs well against existing quant funds.

Original languageEnglish (US)
Pages51-56
Number of pages6
Volume43
No1
Specialist publicationComputer
DOIs
StatePublished - Jan 2010

Keywords

  • Decision support
  • Quantitative analysis
  • SVMs
  • Text analysis

ASJC Scopus subject areas

  • Computer Science(all)

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