This repository is dedicated to a deep learning project focused on predicting stock prices. It encompasses the entire process from data scraping and manipulation to the application of advanced deep learning models. The project's goal is to explore and evaluate the effectiveness of various neural network architectures in forecasting stock market trends.
The project utilizes several tools and libraries, primarily focused on Python and PyTorch:
- Python: A versatile programming language used for data scraping, data manipulation, and model implementation.
- Utilizes multiprocessing for efficient data handling.
- PyTorch: A powerful deep learning framework that facilitates the construction and training of neural network models.
- Spark: Big data analystics tool
This project is open-sourced under the MIT license.