Novel optimization approach for stock price forecasting using multi-layered sequential LSTM

• Published in: Applied soft computing Vol. 134; p. 109830
• Main Authors: Md, Abdul Quadir, Kapoor, Sanjit, A.V., Chris Junni, Sivaraman, Arun Kumar, Tee, Kong Fah, H., Sabireen, N., Janakiraman
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2023
• Subjects: Adam optimizer; Forecasting; Long short-term memory; Recurrent neural network; Stock market; Long short-term memory; Adam optimizer; Recurrent neural network; Stock market; Forecasting

Stock markets can often be one of the most volatile places to invest. Statistical analysis of past stock performance and external factors play a major role in the decision to buy or sell stocks. These factors are all used to maximize profits. Stock price index forecasting has been a subject of great...