A discrete stock price prediction engine based on financial news

Robert P. Schumaker; Hsinchun Chen

doi:10.1109/MC.2010.2

A discrete stock price prediction engine based on financial news

Robert P. Schumaker, Hsinchun Chen

Research output: Contribution to specialist publication › Article

53 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 language	English (US)
Pages	51-56
Number of pages	6
Volume	43
No	1
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2010.2
State	Published - Jan 2010

Keywords

Decision support
Quantitative analysis
SVMs
Text analysis

ASJC Scopus subject areas

General Computer Science

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10.1109/MC.2010.2

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title = "A discrete stock price prediction engine based on financial news",

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.",

keywords = "Decision support, Quantitative analysis, SVMs, Text analysis",

author = "Schumaker, {Robert P.} and Hsinchun Chen",

year = "2010",

month = jan,

doi = "10.1109/MC.2010.2",

language = "English (US)",

volume = "43",

pages = "51--56",

journal = "Computer",

issn = "0018-9162",

publisher = "IEEE Computer Society",

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KW - SVMs

KW - Text analysis

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A discrete stock price prediction engine based on financial news

Abstract

Keywords

ASJC Scopus subject areas

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