Stock price trend predicting through data mining techniques | |
| Author | Chowdary, Dhulipala Yashwanth |
| Call Number | AIT RSPR no. IM-17-03 |
| Subject(s) | Data mining--Computer programs Neural networks (Computer science) Stock price forecasting |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-17-03 |
| 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. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-17-03 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Guha, Sumanta; |
| Examination Committee(s) | Phan Minh Dung;Chutiporn Anutariya; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research studies project report (M. Eng.) - Asian Institute of Technology, 2017 |