Abstract
Traditionally, many stock traders have utilized the measure (LMMA-SMA) \{((Long-Medium term moving average (such as 26 weeks moving average)) – (Short term moving average (such as 13 weeks moving average))\} in order to detect up and down tendency of the stock market. In this paper, we shall demonstrate by the several computer simulations that the DSS whose dealings are done by the measure (LMMA – SMA) is further improved by the use of the AI techniques. We shall also suggest that GAs would be useful for improving the proposed DSS.
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Baba, N., Wang, Y., Kawachi, T., Xu, L., Deng, Z. (2003). Utilization of AI & GAs to Improve the Traditional Technical Analysis in the Financial Markets. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_147
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DOI: https://doi.org/10.1007/978-3-540-45224-9_147
Publisher Name: Springer, Berlin, Heidelberg
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