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The basic idea behind the paper is to develop a method to analyze how the people receive the changes in the stock market and how it affects the stock’s closing price in the future. The stock is a fraction of ownership that a person can purchase and benefit from the company’s growth in the market. There are many factors involved in the change of stock price, one of the major factors is the company’s next step in the market and how it is received by the people. The stock market data values vary from time to time according to the subject risk. Therefore, it is the need to develop a computational automated methodology to predict the stock market data values. The major goals of the proposed initiative are to assist investors, encourage safe stock market investing, and enhance those goals. In addition to this, the system has an algorithm that can assess patterns in stock prices.

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Stock Market Prediction Technique Through LSTM and NLP

  • 会议论文

  • 发表日期：

    2026年

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  • Shirish Joshi,
  • Harsh Chauhan,
  • Sahil Kulkarni

摘要

The basic idea behind the paper is to develop a method to analyze how the people receive the changes in the stock market and how it affects the stock’s closing price in the future. The stock is a fraction of ownership that a person can purchase and benefit from the company’s growth in the market. There are many factors involved in the change of stock price, one of the major factors is the company’s next step in the market and how it is received by the people. The stock market data values vary from time to time according to the subject risk. Therefore, it is the need to develop a computational automated methodology to predict the stock market data values. The major goals of the proposed initiative are to assist investors, encourage safe stock market investing, and enhance those goals. In addition to this, the system has an algorithm that can assess patterns in stock prices.