Tesla Price Prediction Based on LSTM and GRU

Abstract

As a matter of fact, in today's society more and more people are becoming aware of stocks and are finding that they can gain great benefits from them. In this case, investors want to propose a method that can accurately predict the stock market in order to gain extra return from the markets. With this in mind, by studying the historical data of Tesla's stock, an LSTM model and a GRU model were implemented to analyze this data as well as give different predictions for the short-term future. According to the analysis, the result was that the GRU model's predictions were more accurate than the results predicted by the LSTM model based on several statistic indicators. Based on the evaluations, a better prediction model is derived from this study and the factors affecting the efficiency of the model are discussed in depth. Overall, these results shed light on guiding further exploration of price prediction.