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  • 學位論文

遺傳演算法於股票市場技術指標分析預測的應用

Application of Genetic Algorithms to Stock Market Technical Indicator Analysis and Forecasting

指導教授 : 葉佳炫

摘要


本論文為以遺傳演算法針對單一指定股票之技術分析線型進行參數優化、報酬優化、買賣點與股票操作策略建立之研究。本論文並藉此發展一套有效的股票買賣點預測、 操作策略與投資建議的工具。

並列摘要


In this study, genetic algorithms was using in parameter optimization, profit optimization, buy/sell signals and trading strategies decision of technical analysis of a stock. And this study also using genetic algorithms to build a tool about buy/sell signals forcast and trading strategies decision of a stock.

參考文獻


[5] Keynes, J. M.“The General Theory of Employment, Interest, and Money”Macmillan Cambridge University Press, for Royal Economic Society in 1936
[6] Fama, E.F., “The Behavior of Stock Market Prices”, Journal of Business, pp.285-299, January 1965.
[7] Levy, R. A., “Relative Strength as a Criterion for Investment Selection,” Journal of Finance, Vol. 12, pp. 595-610, Dec 1967.
[8] Holland, J., Adaptation in Natural and Artificial Systems, University of Michigan Press, 1975.
[10] Goldberg, D. E., Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.

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