This repository contains implementations of various Quantitative Finance projects, focusing on financial modeling, algorithmic trading, and risk management. Each project is based on established financial theories, research papers, or practical trading strategies, with explanations and optimizations noted in the comments of the .py or .ipynb files.
The repository follows a structured format to ensure ease of navigation:
📦 Quant-Projects
├── 📁 Project-Title-1/
│ ├── 📄 README.md # Summary & Implementation details
│ └── 📜 implementation.py (or .ipynb) # Code for the project
│
├── 📁 Project-Title-2/
│ ├── 📜 ...
│
└── 📜 README.md # You're here!
Each project includes data preprocessing, model implementation, and performance evaluation.