A stock selection DSS combining AI and technical analysis

摘要: Both technical analysis and artificial intelligence are popular promising approaches for the construction of intelligent financial application systems, but any particular method alone might not be sufficient. Instead pursuing a perfect system using one technique, this paper focuses on study Intelligent Stock Selection Decision Support System (ISSDSS) that adopts both traditional in dealing with stock selection problem. ISSDSS analyzes Taiwan market various techniques including indicators, charts analysis, Japanese candlesticks philosophy, Dow theory, giving basis evaluation price trend stocks, trading signals, prices. AI built upon fuzzy decision rules employed to double-check results from analysis. The performance was evaluated by simulating January 1990 April 1995. result confirms synergy outperforms systems technique alone.