Prediction of Stock Price Based on Linear Regression and LSTM
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 4Sprache: EnglischTyp: PDF
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Autoren:
Yang, Ming (Shenyang Ligong University, Information Science and Engineering, Shenyang, Liaoning, China)
Zhou, Xiaotong (Dongbei University of Finance and Economics, Surrey International Institute, Dalian, Liaoning, China)
Inhalt:
This article analyzes and predicts stock raw data from two aspects of linear regression and LSTM, and finally generates the corresponding result graph to predict the trend of the stock market and individual stocks. This design mainly uses machine learning and deep learning to integrate past data sets into training sets for model training, aiming to provide more accurate stock trends for financial professionalsand achieve higher financial profits.