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Stock Price Trend Prediction through Data Mining Techniques

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dc.contributor.advisor Guha, Sumanta
dc.contributor.author Dhulipala, Yashwanth Chowdary
dc.contributor.other Dung, Phan Minh
dc.contributor.other Anutariya, Chutiporn
dc.date.accessioned 2017-07-17T04:03:22Z
dc.date.available 2017-07-17T04:03:22Z
dc.date.issued 2017-07
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/869
dc.description.abstract Out of many techniques which are implemented for Stock market Price trend Prediction, only few methods have proven approximate or accurate decisions. Taking into consideration the historical and present data related to National Stock Exchange and Bombay Stock Exchange (India Stock Exchange Markets) the scope is to test the new results and find the optimal solutions which will be useful in learning the advanced techniques and also for people who are interested in trading of stocks. Beyond many algorithms, only few data mining algorithms and techniques are to be considered and implemented in this research. So I want to work on the functioning of algorithms which will help to find out the accurate results which include Stock Price Trend Prediction Using Support Vector Machine Algorithm and Artificial Neural Networks. Analyzing the Stock market of India, implementing and analyzing SVM and ANN, their advantages and disadvantages, the results obtained after prediction will be explained. en_US
dc.description.sponsorship AIT Fellowship en_US
dc.language.iso en en_US
dc.publisher AIT en_US
dc.subject Stock Prediction en_US
dc.subject SVM en_US
dc.subject ANN en_US
dc.subject BSE en_US
dc.subject Price Trend en_US
dc.subject Data Mining Techniques en_US
dc.title Stock Price Trend Prediction through Data Mining Techniques en_US
dc.type Research report en_US

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