id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3696	Dinesh Singh Dhakar	A Deep Neural Network Model for Forecasting Variable Stock Movement Intervals 	2025	9	.pdf	application/pdf	3269	210	54	In the context of stock market data, this means breaking down the original time series into various frequency bands or levels. Typically, stock market forecasting can be categories based on the tenure of training and testing intervals [6].	cache/cana-3696.pdf	txt/cana-3696.txt