Aug. 18, 2022, 1:10 a.m. | Tashreef Muhammad, Anika Bintee Aftab, Md. Mainul Ahsan, Maishameem Meherin Muhu, Muhammad Ibrahim, Shahidul Islam Khan, Mohammad Shafiul Alam

cs.LG updates on arXiv.org arxiv.org

In modern capital market the price of a stock is often considered to be
highly volatile and unpredictable because of various social, financial,
political and other dynamic factors. With calculated and thoughtful investment,
stock market can ensure a handsome profit with minimal capital investment,
while incorrect prediction can easily bring catastrophic financial loss to the
investors. This paper introduces the application of a recently introduced
machine learning model - the Transformer model, to predict the future price of
stocks of …

arxiv case case study deep learning learning prediction price stock study transformer

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Alternant Data Engineering

@ Aspire Software | Angers, FR

Senior Software Engineer, Generative AI

@ Google | Dublin, Ireland