Stacked LSTM a Deep Learning model to predict Stock market

Title

Stacked LSTM a Deep Learning model to predict Stock market

Creator

Jaswanth B.; Kaushik J.

Description

The goal of Stock Market Prediction is to forecast the future value of a company's financial stocks. The use of machine learning and deep learning technologies in stock market prediction technologies is a recent trend. Machine learning makes predictions based on the values of current stock market indices by training on their previous values in sequential timely order using the artificial neural network, while deep learning makes predictions based on the values of current stock market indices by training on their previous values in sequential timely order using the artificial neural network. 2022 IEEE.

Source

Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 17-22.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Deep Learning; Machine Learning; RMSE; SLSTM; Stock market prediction; Stock markets

Coverage

Jaswanth B., Christ University, Department of Data Science, India; Kaushik J., Christ University, Department of Data Science, India, Mit (ADT) University, Pune, India

Rights

Restricted Access

Relation

ISBN: 978-166547436-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICAC3N56670.2022.10074222

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152195442&doi=10.1109%2fICAC3N56670.2022.10074222&partnerID=40&md5=13319ec412f5bdbf1abe917543ac6590