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유전알고리즘 활용한 실시간 패턴 트레이딩 시스템 프레임워크 KCI 등재

Conceptual Framework for Pattern-Based Real-Time Trading System using Genetic Algorithm

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  • URLhttps://db.koreascholar.com/Article/Detail/319439
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한국산업경영시스템학회지 (Journal of Society of Korea Industrial and Systems Engineering)
한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
초록

The aim of this study is to design an intelligent pattern-based real-time trading system (PRTS) using rough set analysis of technical indicators, dynamic time warping (DTW), and genetic algorithm in stock futures market. Rough set is well known as a data-mining tool for extracting trading rules from huge data sets such as real-time data sets, and a technical indicator is used for the construction of the data sets. To measure similarity of patterns, DTW is used over a given period. Through an empirical study, we identify the ideal performances that were profitable in various market conditions.

저자
  • Suk-Jun Lee(Business School, Kwangwoon University) | 이석준
  • Suk-Jae Jeong(Business School, Kwangwoon University) | 정석재 Corresponding Author