Dhruvil Trivedi, Ashish Bhagchandani, Rutul Ganatra, M. Mehta
{"title":"金融中的机器学习","authors":"Dhruvil Trivedi, Ashish Bhagchandani, Rutul Ganatra, M. Mehta","doi":"10.1109/PUNECON.2018.8745424","DOIUrl":null,"url":null,"abstract":"The modern developments in machine learning have increased the diversity of its usage. With the help of machine learning it has become easy for mankind to analyse and decode the proper information. In this paper we have created an algorithm which can predict the analysis of financial market. The method used in algorithm is Logistic Regression to multiple variables. In this method, with the help of previous datasets of financial market we can predict the future analysis, which will surely decrease the human efforts and margin of error. The proposal of this algorithm is to create an impact in the near future and to make easy for humans to study the financial market.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Machine Learning in Finance\",\"authors\":\"Dhruvil Trivedi, Ashish Bhagchandani, Rutul Ganatra, M. Mehta\",\"doi\":\"10.1109/PUNECON.2018.8745424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The modern developments in machine learning have increased the diversity of its usage. With the help of machine learning it has become easy for mankind to analyse and decode the proper information. In this paper we have created an algorithm which can predict the analysis of financial market. The method used in algorithm is Logistic Regression to multiple variables. In this method, with the help of previous datasets of financial market we can predict the future analysis, which will surely decrease the human efforts and margin of error. The proposal of this algorithm is to create an impact in the near future and to make easy for humans to study the financial market.\",\"PeriodicalId\":166677,\"journal\":{\"name\":\"2018 IEEE Punecon\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Punecon\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PUNECON.2018.8745424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Punecon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PUNECON.2018.8745424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The modern developments in machine learning have increased the diversity of its usage. With the help of machine learning it has become easy for mankind to analyse and decode the proper information. In this paper we have created an algorithm which can predict the analysis of financial market. The method used in algorithm is Logistic Regression to multiple variables. In this method, with the help of previous datasets of financial market we can predict the future analysis, which will surely decrease the human efforts and margin of error. The proposal of this algorithm is to create an impact in the near future and to make easy for humans to study the financial market.