APPL stock price prediction based on LSTM and GRU

Abstract

In particular, LSTM and GRU are two frequently used models in stock price prediction. With this in mind, this study will test these two useful tools from three aspects, actual using, limitations and possible future improving. Based on the stock price of (APPL), Apple company from 2022 to 2023. There are a lot of past research shows that LSTM and GRU are useful in forecasting stock price. However, one important part to notice is the rely on historical data. These two models may find difficult to address the correct prediction and make real profit. As a result, the usefulness of LSTM and GRU are tested by the unstable stock market. Additionally, overfitting can be a big problem. To make the models more useful and eliminate limitations. In this research, there will be some real examples of change in stock price based on graphs. There will be some future strategy to solve issues on LSTM and GRU, from possible improvements on the current reliability on historical data, and the easily influenced stock market. Overall, LSTM and GRU can provide useful details based on the past data of certain stock. However, the limitations of these two models are a big issue.