Research on Predicting Stock Market Profitability Changes Based on Machine Learning

Authors

  • Gaofeng Xu
  • Xinchen Lu

DOI:

https://doi.org/10.54097/11awc370

Keywords:

Artificial Intelligence, Machine Learning, Data Mining

Abstract

The expansion of the market in our country has led to rapid economic growth, and many companies have begun to seek foreign investment for themselves. What investors are given is an invisible but very useful thing - stocks. However, stocks are unpredictable and subject to many influences, making it difficult for investors to predict whether the stock trend will decline or rise. It is uncertain whether investors will make a profit or lose money. The development of artificial intelligence technology has played a crucial role in driving stock model prediction. With the development and gradual maturity of machine learning technology, machine learning models are used for efficient and accurate analysis of massive data in the stock market, thereby achieving data mining in the stock market, analyzing changes in stock returns, and predicting them to improve investor returns.

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Published

26-11-2024

Issue

Section

Articles

How to Cite

Xu, G., & Lu, X. (2024). Research on Predicting Stock Market Profitability Changes Based on Machine Learning. Frontiers in Computing and Intelligent Systems, 10(2), 25-28. https://doi.org/10.54097/11awc370