Research on Predicting Stock Market Profitability Changes Based on Machine Learning

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.

Authors

Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2024-11-26
DOI
https://doi.org/10.54097/11awc370
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Predicting Stock Market Profitability Changes Based on Machine Learning

Xinchen Lu, Gaofeng Xu
Frontiers in Computing and Intelligent Systems
Stock Market Forecasting Methods
article

Research on Predicting Stock Market Profitability Changes Based on Machine Learning

Xinchen Lu, Gaofeng Xu
article en

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.

Frontiers in Computing and Intelligent SystemsVol. 10(2)
Openalex Percentile: Top 74%
Stock Market Forecasting Methods
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Research on Predicting Stock Market Profitability Changes Based on Machine Learning — Xinchen Lu, Gaofeng Xu · Frontiers in Computing and Intelligent Systems (2024) | TGRS Research Map | TGRS