Stock Prediction via Fundamental Financial Data using Deep Learning Techniques

Course: ECSE 552 - Deep Learning

University: McGill University

Authors: Manas Manoj Bedekar, Qingnan Li, Sansitha Panchadsaram, Tony Xu

Date: April 12th, 2024

---

Repository Structure

This repository is structured as follows:

• Code/: Contains all Jupyter-Notebooks and required code.
  • Dataset_Preparation.ipynb: Preparation of dataset.
  • Market_Predictor.ipynb: Model implementation and evaluation.
  • Analysis.ipynb: Final analysis.
• Dataset/: Required data files in CSV
  • nasdaq_screener.csv: List of stocks listed on NYSE and NASDAQ.
  • main.csv: Consolidated fundamental financial data (company-wise).
• Results/: Results obtained from Market_Predictor.ipynb and Analysis.ipynb.
• README.md: Overview of the project, setup instructions, and usage guide.