Welcome to the repository for my Economics in Data Science final project, where the focus is on generating a profit from 1,000,000$ in various investments, with a specific target on October 2024.
Key Features:
- Forecasting Algorithm: The primary objective is to design a robust algorithm capable of predicting stock prices, enhancing decision-making processes in the financial domain.
- Profit Analysis: The project includes an Excel sheet providing a detailed breakdown of the profits generated by various investments, aiding in understanding the returns on different ventures.
Investment Strategy:
In crafting my investment strategy, I prioritized risk mitigation and portfolio diversification. I opted for an equitable distribution of funds across real estate, banking, and stocks, striving to strike a balance between safety and profitability.
Repository Contents:
- PowerPoint Presentation: Explore a comprehensive overview of the project, methodologies, and key findings through the accompanying presentation.
- Scanned Documents: Access scanned copies of the final project guidelines, providing insight into the project's scope and requirements.
- Datasets: Find the datasets used for stock analysis, facilitating transparency and reproducibility in your exploration of the project.
- Python Forecasting Algorithm: Delve into the core of the project with the Python codebase, showcasing the implementation of the forecasting algorithm. It includes compelling data visualizations of the stock prices.
Approach: While the end results may not have yielded substantial profits, my approach was grounded in a well-studied methodology. By adopting a conservative stance and diversifying investments, the objective was to minimize risk while still generating consistent returns.
