id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-6616	Han, Chenyu; Fu, Xiaoyu	Challenge and Opportunity: Deep Learning-Based Stock Price Prediction by Using Bi-Directional LSTM Model	2023	4	.pdf	application/pdf	2308	104	59	We apply the Bi-LSTM model to historical stock price data for Apple Inc. and evaluate its performance using mean squared error (MSE) and visual inspection of actual vs. predicted prices. Abstract: Stock price prediction is a challenging and important task in finance, with many potential applications in investment, risk management, and portfolio optimization.	cache/fbem-6616.pdf	txt/fbem-6616.txt