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📊 Features

📥 Data Ingestion	🛠️ Data Transformation	📊 Visualization	📈 Portfolio Simulation	🖥️ Web Dashboard	🐳 Docker Support
Real-time & historical	Technical indicators	Candlestick, line	Track investments	Streamlit/Flask app	Containerization
CSV/JSON/REST sources	Normalization, scaling	Interactive charts	Strategy backtesting	User authentication

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🚀 Quick Start

# Clone the repository
git clone https://github.com/vannu07/Stock-market.git
cd Stock-market

# Install dependencies
pip install -r requirements.txt

# Run the dashboard
python app.py

How to run with Docker

docker build -t stock-market .
docker run -p 8501:8501 stock-market

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🏗️ Project Structure

Stock-market/
├── assets/                # Images, GIFs, and branding
├── data/                  # Data sources
├── src/
│   ├── analysis/          # Analysis scripts
│   ├── visualization/     # Chart rendering
│   ├── utils/             # Helper functions
│   └── app.py             # Main dashboard app
├── notebooks/             # Jupyter notebooks
├── requirements.txt       # Python dependencies
├── Dockerfile             # Containerization config
├── README.md              # Documentation
└── LICENSE                # License info

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🛠️ Tech Stack

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📈 Sample Visualization

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🏗️ Architecture

graph LR
    A[📊 Stock Data] --> B[🔍 Data Transformation]
    B --> C[⚙️ Indicator Calculation]
    C --> D[📈 Visualization]
    D --> E[🌐 Dashboard]
    E --> F[📈 Portfolio Tracking]
    F --> G[🐳 Docker Deployment]

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📊 Project Stats

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🤝 Social & Contact Links

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🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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📄 License

This project is licensed under the MIT License – see LICENSE.

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🌟 Show Your Support

⭐ Star this repo if you found it useful!

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