Stock Market Prediction with Deep Learning Using Public Disclosure Platform Data
Conference paper > Full Text · 2020
Authors: Büşra Aslan, Rıza Cenk ERDUR
2020 Innovations in Intelligent Systems and Applications Conference (ASYU), Turkey, İstanbul, International, Verbal, Full Text, 2020-2020, pp 1-5
DOI: 10.1109/asyu50717.2020.9259836
Summary
Prediction of a company’s stock value is one of the most important encountered problems in Stock Markets. In this study, stock value prediction has been made for the three sport clubs Galatasaray (GSRAY), Fenerbahçe (FENER) and Beşiktaş (BJKAS) that have stock values in Borsa Istanbul. Sentiment analysis results that have been obtained using the Public Disclosure Platform notification data about GSRAY, FENER and BJKAS have been used in addition to financial data that belong to these companies for stock market prediction. Long-short term memory, which is one of the deep learning methods, has been used for prediction. According to experimental results, when Public Disclosure Platform notification data about these companies have been used in prediction, the prediction results are more accurate.