U.S.A. S&P 500 stock market dynamism exploration with moving window and artificial intelligence approach

Deng Yiv Chiu, Cheng Yi Shiu, Yu Sheng Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

We propose an approach of artificial immune algorithm, fuzzy theorem, support vector regression, and seasonal moving window to explore stock dynamism among same seasons in continuous years for USA S&P 500 stock indexes. First, we select optimal number of trading days to calculate technical indicator values. We apply artificial immune algorithm to locate optimal combination of technical indicators as input variables. The property of nonlinearity and high dimensionality of the support vector regression is employed to explore the stock price patterns.

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主出版物標題Proceedings - 7th International Conference on Networked Computing and Advanced Information Management, NCM 2011
頁面341-345
頁數5
出版狀態已出版 - 2011
事件7th International Conference on Networked Computing and Advanced Information Management, NCM 2011 - Gyeongju, Korea, Republic of
持續時間: 21 6月 201123 6月 2011

出版系列

名字Proceedings - 7th International Conference on Networked Computing and Advanced Information Management, NCM 2011

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???event.eventtypes.event.conference???7th International Conference on Networked Computing and Advanced Information Management, NCM 2011
國家/地區Korea, Republic of
城市Gyeongju
期間21/06/1123/06/11

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