Abstract
Since the inception of the stock market, people have been using various data models, machine learning, and data mining to predict the future movement of stock prices to make huge profits. The rise and fall of stock prices are influenced by many factors, such as political, economic, social, and market factors. For stock investors, the prediction of stock market trends is directly related to profit capture. In this paper, we use Netflix's stock price for the past ten years as the dataset for this paper. An LSTM model will be built to predict the stock price trend of NETFLIX in the next 30 days. The dataset will be divided into a training set and a test set to test the degree of fit of the data. The results show that the LSTM model is a good fit for the predicted data and the real data. Finally, Netflix's stock price for the next 30 days will be predicted using Netflix's stock price for the past 10 years, and the results show that Netflix's stock price is on an upward trend for the next 30 days.
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