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🐉 QuantDragon 🔥

Educational Quant Finance

QuantDragon is a curated environment for quantitative finance, machine learning, and portfolio optimization. With a single command, you can set up a powerful Jupyter-based workspace for financial analysis.

🚀 Quick Setup

Run the following commands in your terminal to summon the QuantDragon🐉 environment:

wget -O dragon.sh https://raw.githubusercontent.com/dunkel000/QuantDragon/2a473a9750a1096fe5be34cc97c94619ddabbbe3/dragon.sh
chmod +x dragon.sh
./dragon.sh

Or

curl -o dragon.sh https://raw.githubusercontent.com/dunkel000/QuantDragon/main/dragon.sh
chmod +x dragon.sh
./dragon.sh

This script will: ✅ Create a virtual environment (quantdragon-env)
✅ Install essential quant libraries (numpy, pandas, scipy, matplotlib, seaborn, etc.)
✅ Set up Jupyter Notebook with useful extensions
✅ Configure everything for seamless quant research

📜 Features

🔥 Fully equipped Python environment for quant finance
🐉 Includes Riskfolio-Lib, PyPortfolioOpt, and CVXPY for portfolio optimization
📈 Supports data sources like Yahoo Finance, Alpha Vantage, and pandas-datareader
⚡ Integrated with Jupyter and essential extensions for better usability

📌 Usage

Once installed, activate the environment with:

source ~/quantdragon-env/bin/activate

Then, start Jupyter Notebook:

jupyter lab

⚡ Contributing

Feel free to fork, enhance, and submit PRs! QuantDragon is an evolving project, and contributions are welcome.

📜 License

This project is open-source and available under the MIT License.

🔥🐉 **Summon the QuantDragon and start exploring the Power of Quant Finance **