Neural Embeddings of Financial Time-Series Data

Deep Learning in Stock Market: Techniques, Purpose, and Challenges

ZR Marak, AJ Kulkarni, S Sengupta - Handbook of Formal Optimization, 2024 - Springer
In recent years, deep learning has witnessed a growing interest due to its ability to solve
complex problems and offer accurate results. It has found wide applications in finance …
Save Cite Related articles
[PDF] arxiv.org

Evolutionary Dynamics of Investors Expectations and Market Price Movement

I Ivanova - arXiv preprint arXiv:1912.11216, 2019 - arxiv.org
The paper presents a step forward into the development of the theory of meaning. Stock and
financial markets are examined from communication-theoretical perspective on the …
Save Cite Cited by 4 Related articles All 6 versions View as HTML