Stock Price Forecasting using N-Beats Deep Learning Architecture
B. Samuel Naik, V C Karthik, B. Manjunatha, Veershetty, Harish Nayak, G. H., B S Varshini, Halesha P & S Govinda Rao · Journal of Scientific Research and Reports · 2024
Stock prices present unique forecasting challenges due to factors such as market volatility, investor sentiment, and economic indicators, which contribute to significant fluctuations in time series data. This paper addresses these complexities by applying Deep Learning (DL) model...
Open access
Research Article
10.9734/jsrr/2024/v30i92373