Comparative study of FOREX trading systems built with SVR+GHSOM and genetic algorithms optimization of technical indicators

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 1, Issue , 2012, Pages 351-358

  De Brito, Rodrigo F B ^a   Oliveira, Adriano L I ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Foreign exchange rates prediction; genetic algorithms; self organizing map; support vector regression; trading system

Indexed keywords

COMPUTATIONAL INTELLIGENCE TECHNIQUES; FOREIGN EXCHANGE MARKETS; FOREIGN EXCHANGE RATES; FOREIGN EXCHANGE RATES PREDICTIONS; GENETIC ALGORITHMS OPTIMIZATIONS; INTERNATIONAL ECONOMICS; SUPPORT VECTOR REGRESSION (SVR); TRADING SYSTEMS;

ARTIFICIAL INTELLIGENCE; COMMERCE; CONFORMAL MAPPING; ECONOMICS; EXPERIMENTS; FINANCE; FINANCIAL DATA PROCESSING; OPTIMIZATION; PROFITABILITY;

GENETIC ALGORITHMS;

EID: 84876873691     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2012.55     Document Type: Conference Paper

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