🧠 Mefocem

A collection of quantitative finance, macroeconomic, and algorithmic trading research projects by Alperen Cem Saygılı.
This repository acts as a unified workspace for data-driven research, visualization, and model development.

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📂 Repository Structure

mefocem/
├── projects/
│   ├── bond_recession_analysis/
│   ├── project2_name/
│   └── project3_name/
├── LICENSE
├── README.md
└── requirements.txt

Each project folder includes:
- A dedicated `README.md` with a description and methodology  
- Python scripts or Jupyter notebooks  
- Visualizations or datasets in subfolders  
- A results or charts directory

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🚀 Example Project: Bond Recession Analysis

Goal:
Analyze the relationship between the U.S. Treasury yield curve and historical recessions.
It uses FRED datasets (DGS2, DGS10, and USREC) to visualize inversion periods and post-inversion recessions.

Run:

python projects/bond_recession_analysis/bond_recession_analysis.py

🛠️ Installation

To install dependencies:

pip install -r requirements.txt

🧩 Dependencies

pandas

numpy

matplotlib

seaborn

scikit-learn

📜 License

This repository is licensed under the MIT License. You are free to use, modify, and distribute the code with attribution.

👤 Author

Alperen Cem Saygılı Quantitative Finance & Algorithmic Trading Research https://github.com/lorienarcher