This research focuses on the predictive analysis of ChiNext and blue-chip stocks in the Chinese stock market, employing the random forest model to conduct in-depth research on the stock trends of these two sectors. In the experimental process, we randomly selected six stocks from each sector as research samples, aiming to explore whether there are significant differences in prediction results between the two. Through rigorous experimental verification and data analysis, we found no significant difference in the predictive effect of random forest models between ChiNext and blue-chip stocks.