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The market has always played an important role in the development of the national economy. Over time, the number of people interested in the stock market increased, more people became involved in the stock market, people’s behavior also changed, and stock predictions became important and hot. Stock prices are time records with noise and high volatility. As a result, buy-and-hold strategies fail to capture the downside of this data, leading to poor predictions. LSTM is a recurrent neural network model that is good at processing real-time data. In this study, the authors predicted Apple’s stock price (opening and closing price) using the LSTM model to examine the history of Apple shares (APPL).

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Stock Price Prediction Using LSTM

  • 会议论文

  • 发表日期：

    2025年

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  • Shashank Pandey,
  • Prateek Tyagi,
  • Shashank Sharma,
  • Naman Jha,
  • Vivek Tyagi,
  • Pradeep Gupta,
  • Sonam Gupta

摘要

The market has always played an important role in the development of the national economy. Over time, the number of people interested in the stock market increased, more people became involved in the stock market, people’s behavior also changed, and stock predictions became important and hot. Stock prices are time records with noise and high volatility. As a result, buy-and-hold strategies fail to capture the downside of this data, leading to poor predictions. LSTM is a recurrent neural network model that is good at processing real-time data. In this study, the authors predicted Apple’s stock price (opening and closing price) using the LSTM model to examine the history of Apple shares (APPL).