Research on Apple’s Stock Price Trend Forecasting
DOI:
https://doi.org/10.54097/nt9m0k49Keywords:
Apple’s stock, ARIMA, LSTM, CNN.Abstract
As the world's largest company by market capitalization, Apple has attracted the attention of many investors. Many investors have developed a strong interest in Apple stocks. However, it is not easy to study the trend of Apple stocks. Because there are many factors affecting Apple's stock price changes, it is very complicated and difficult to review the details of all these factors. Predicting and analyzing stock prices can provide investors with practical tools to raise funds and reduce investment risks. This paper starts with the time series research method of stock prices, which has proved to be a relatively effective method. Through this method, this paper can have an in-depth understanding of the fluctuation of stock prices, so as to better grasp market trends and make more informed investment decisions. By using CNN and LSTM models for prediction, the author finds that it rose by an average of 4% per trading day, and its MSE value was basically below 10, The MSE of other stocks has been optimized from more than 1900 shares predicted in less than 10 a share. This paper splits and analyzes the adjusted data to obtain more reasonable and accurate prediction results. Finally, this article aims to provide valuable reference for those who are interested in stock forecasting or studying the trend of Apple's stock price.
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