Abstract
In this paper, we propose a new decision support system (DSS) for dealing stocks which utilizes both the prediction (obtained by neural networks) concerning the occurrence of the “Golden Cross (GC) and Dead Cross (DC)” and that concerning the increase (decrease) rate of the future stock price several weeks ahead. Computer simulation results concerning the dealings of (randomly chosen) several individual stocks confirm the effectiveness of our approach.
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Baba, N., Nin, K. (2007). Prediction of Golden Cross and Dead Cross by Neural Networks and Its Utilization. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_81
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DOI: https://doi.org/10.1007/978-3-540-74827-4_81
Publisher Name: Springer, Berlin, Heidelberg
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