Prediction of Stock Price Trends Based on Multiple Regression Model: A Deep Analysis of Market Influencing Factors

Abstract

This study uses a multiple regression model to explore the trend of stock prices in depth, systematically analyzing various factors that affect the market, striving to accurately reveal their quantitative relationship with stock prices and provide strong decision-making basis for investors. Through the analysis of multiple market variables, the research results show that the multiple regression model has certain effectiveness in predicting stock price trends and can provide useful references for investors. However, due to the high complexity and variability of the stock market, accurately predicting stock prices still faces many challenges and uncertainties. Therefore, further research is still necessary to improve the accuracy of predictions.