(´㉨`) CapyBara Stock Advisor

CapyBara Stock Advisor is a Python-based application that provides stock recommendations by integrating language models and financial data from Yahoo Finance. 📈📊

✨ Features

• ⭐ Stock Recommendations: Generates stock suggestions based on financial data analysis.
• 🌐 Financial Data Retrieval: Fetches real-time stock data using Yahoo Finance.
• 🤖 Natural Language Processing: Utilizes language models to interpret and analyze financial information.

🛠️ Installation

1. Clone the Repository:

   git clone https://github.com/Eajunnn/CapyBaraStockAdvisor.git

2. Navigate to the Project Directory:

   cd CapyBaraStockAdvisor

3. Install Dependencies:

   Ensure you have Python 3.x installed. Then, install the required packages:

   pip install -r requirements.txt

🚀 Usage

1. Run the Application:

   python main.py

2. Follow the Prompts:

   The application will guide you through obtaining stock recommendations.

🔍 How It Works

CapyBara Stock Advisor combines the capabilities of language models and Yahoo Finance data to provide stock recommendations:

1. 📥 Data Retrieval: The application uses the yfinance library to fetch real-time stock data from Yahoo Finance.

2. 📊 Data Analysis: Financial metrics such as balance sheets, income statements, and cash flow are analyzed to assess stock performance.

3. 🧠 Natural Language Processing: Language models interpret and analyze the financial data to generate human-readable stock recommendations.

🔍 Demo

20240817-232536.mp4

🤝 Contributing

Contributions are welcome! 🛠️ Please fork the repository and create a pull request with your enhancements.

📜 License

This project is licensed under the MIT License. 📄 See the LICENSE file for details.

⚠️ Disclaimer

This tool is for educational purposes only and should not be considered financial advice. 💡 Always conduct your own research before making investment decisions.

For more information, visit the CapyBara Stock Advisor GitHub repository.

For a visual guide on using the Yahoo Finance API with Python, you can watch the following video: (https://www.youtube.com/watch?v=7uBpzM2Dh6Y)