{"title":"股票波动理论中的傅立叶变换分析","authors":"Li Qing-feng, Peng Wen-feng","doi":"10.1109/CSAE.2011.5952874","DOIUrl":null,"url":null,"abstract":"The securities market has been highly concerned by every economic entity, this paper focuses its research on the rules of price fluctuation of the stock market in China. According to Elliott wave theory and the Fibonacci series in wave theory of the stock market, using the fourier transform to analyze the frequency factor of stock price volatility. Coefficients the frequency factor of volatility trend curve to achieve the purpose of predicting the stock price cycle. The experimental analysis and validation of the method can achieve better results.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fourier transform analysis in stock wave theory\",\"authors\":\"Li Qing-feng, Peng Wen-feng\",\"doi\":\"10.1109/CSAE.2011.5952874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The securities market has been highly concerned by every economic entity, this paper focuses its research on the rules of price fluctuation of the stock market in China. According to Elliott wave theory and the Fibonacci series in wave theory of the stock market, using the fourier transform to analyze the frequency factor of stock price volatility. Coefficients the frequency factor of volatility trend curve to achieve the purpose of predicting the stock price cycle. The experimental analysis and validation of the method can achieve better results.\",\"PeriodicalId\":138215,\"journal\":{\"name\":\"2011 IEEE International Conference on Computer Science and Automation Engineering\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Computer Science and Automation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSAE.2011.5952874\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSAE.2011.5952874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The securities market has been highly concerned by every economic entity, this paper focuses its research on the rules of price fluctuation of the stock market in China. According to Elliott wave theory and the Fibonacci series in wave theory of the stock market, using the fourier transform to analyze the frequency factor of stock price volatility. Coefficients the frequency factor of volatility trend curve to achieve the purpose of predicting the stock price cycle. The experimental analysis and validation of the method can achieve better results.
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