Evaluating machine learning classification for financial trading: An empirical approach

Expert Systems with Applications

Volumn 54, Issue , 2016, Pages 193-207

  Gerlein, Eduardo A ^a,c   McGinnity, Martin ^a,b   Belatreche, Ammar ^a   Coleman, Sonya ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^c PONTIFICIA UNIVERSIDAD JAVERIANA   (Colombia)

Author keywords

Computer intelligence; Data mining; Financial forecasting; FOREX markets; Machine learning; Trading

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMERCE; COMPLEX NETWORKS; DATA MINING; ELECTRONIC TRADING; FINANCE; FINANCIAL DATA PROCESSING; FINANCIAL MARKETS; INVESTMENTS; MACHINERY; PROFITABILITY; STATISTICAL MECHANICS; TIME SERIES ANALYSIS;

COMPUTER INTELLIGENCES; FINANCIAL ENGINEERING; FINANCIAL FORECASTING; FOREX MARKETS; MACHINE LEARNING CLASSIFICATION; MACHINE LEARNING MODELS; TRADING; TRADITIONAL APPROACHES;

LEARNING SYSTEMS;

EID: 84958756389     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2016.01.018     Document Type: Article

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