The Stock Market Prediction of Tesla

Abstract

As a matter of fact, stock price prediction attracts various investors. The direction of this research paper is stock prediction, the research object is Tesla, the research model is LSTM and GRU model, the research process is to extract the past five years of Tesla's stock market data and then through the comparison of the two models predicted the future trend of the stock to determine which model is more suitable, in which one has to use the two mathematical formulas of MSE and RMSE in the explanation of the modeling process, and at the same time, research on the strengths and weaknesses of the RNN neural network, the results of the research is that the GRU model can be more quickly and more accurately to get the results, as well as the back-order of the depth of research and development is the goal of how to improve the accuracy.