id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-2300	Hu, Jiatong	Research on Investment Strategy and Benefit of A-share Traditional Chinese Medicine Industry Value Quantification Based on Machine Learning	2022	4	.pdf	application/pdf	2489	105	42	Using machine learning algorithms including neural network models to formulate quantitative investment timing strategies is a very popular direction in quantitative investment strategy research in recent years, and is also the main application field in the field of quantitative investment[6].It can be predicted that more machine learning methods will be used in the future financial quantitative research, and how to find a suitable application mode of machine learning has become one of the most promising research directions in the current quantitative research field[7]. The work of this paper explores the possibility of combining neural network and machine learning model to predict the stock market and make profits from it with the manually extracted features as input.	cache/fbem-2300.pdf	txt/fbem-2300.txt