Maximizing winning trades using a novel RSPOP fuzzy neural network intelligent stock trading system

Applied Intelligence

Volumn 29, Issue 2, 2008, Pages 116-128

  Tan, A ^a   Quek, C ^a   Yow, K C ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Fuzzy neural networks; Intelligent stock trading system; Maximizing winning trades; Moving average; Multiplicative returns; Relative strength indicator; Rough set based

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; LAWS AND LEGISLATION; NEURAL NETWORKS; VEGETATION;

ARTIFICIAL NEURAL NETWORKS; BUY-AND-HOLD STRATEGY; COMPUTATIONAL INTELLIGENCE TECHNIQUES; EMPIRICAL RESULTS; FINANCIAL FORECASTING; INTELLIGENT STOCK TRADING SYSTEM; MAXIMIZING WINNING TRADES; MOVING AVERAGE; MOVING AVERAGES; MULTIPLICATIVE RETURNS; PREDICTIVE CAPABILITIES; RELATIVE STRENGTH; RELATIVE STRENGTH INDICATOR; RESEARCH EFFORTS; ROUGH-SET BASED; STOCK DATA; STOCK TRADING SYSTEM; TECHNICAL RULES; TRADING RULES; TRADING SIGNALS; TRADING SYSTEMS; TURNING POINTS;

COMMERCE;

EID: 49149126477     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-007-0055-1     Document Type: Article

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