id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-28216	Zhou, Quan	Stock Price Forecasting Based on the Gauss-Newton Method	2024	5	.pdf	application/pdf	2527	141	51	Ma Jingjing from Sichuan College of Finance and Economics (2024) used K-line chart analysis to analyze the overall trend of stock price data, and then used logistic regression and random forest, two classification models, to predict the rise and fall of stock prices and evaluate their accuracy. In future research, the model can also be applied to actual stock market data to test its performance under various market conditions.	cache/fbem-28216.pdf	txt/fbem-28216.txt