id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-33600	Costa e Souza, João Paulo; Meneguette, Rodolfo I.; Gonçalves, Vinícius P.; Mendonça, Fábio L. L. de; Silva, Francisco Airton; Rocha Filho, Geraldo P.	Predicting Bull and Bear Markets: A Deep Learning and Linear Regression Study in Cryptocurrencies	2024		.htm	text/html	5733	294	44	[15] conducted a comparative analysis of three machine learning approaches: Recurrent Neural Network (RNN), Long Short-Term Memory, and Convolutional Neural Network, focusing on their performance in predicting financial market price. Predicting Bull and Bear Markets: A Deep Learning and Linear Regression Study in Cryptocurrencies Download book PDF Download book EPUB João Paulo Costa e Souza9, Rodolfo I. Meneguette10, Vinícius P. Gonçalves9, Fábio L. L. de Mendonça9, Francisco Airton Silva11 & … Geraldo P. Rocha Filho9,12  Show authors Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 15413)) Included in the following conference series: Brazilian Conference on Intelligent Systems 408 Accesses Abstract Despite the growing popularity and increasingly widespread use of cryptocurrencies in contemporary financial markets, understanding market trends and predicting their future movements is a formidable challenge in financial analysis.	cache/bracis-33600.htm	txt/bracis-33600.txt