C-Scientist

C-Scientist is an object-oriented Python application built with PyQt, designed to provide traders and analysts with a comprehensive platform for tracking blockchain activities, and managing cryptocurrency portfolios. By integrating real-time data analytics, interactive charts, and a user-friendly interface, C-Scientist empowers users to make informed trading decisions.

🚀 Features

• Chain Activity Monitoring: Stay updated with real-time blockchain events and transactions.
• Portfolio Management: Track your crypto assets, view performance metrics, and analyze portfolio distribution.
• Interactive Charts: Visualize market trends and portfolio performance using dynamic charts.
• Authentication Module: Secure user authentication to protect sensitive data.
• News Aggregator: Access the latest news and updates from the cryptocurrency world.
• Chatbot Assistant: Get instant answers to your queries with the integrated chatbot.

🧱 Project Structure

c-scientist/
├── analytics/             # Modules for data analysis and processing
├── authentication/        # User authentication and session management
├── charts/                # Chart generation and visualization tools
├── chatbot/               # Chatbot integration and response handling
├── data/                  # Data models and database interactions
├── news/                  # News fetching and aggregation
├── reviews/               # User reviews and feedback management
├── main.py                # Application entry point
├── requirements.txt       # Python dependencies
├── Pipfile                # Project dependencies and scripts
├── README.Docker.md       # Docker setup instructions
├── LICENSE                # GPL-2.0 License
├── Dockerfile             # Docker build file
├── compose.yml            # Docker params file
├── favicon.ico            # App icon
├── AppImageBuilder.yml    # Config for building app image
└── .gitignore             # Git ignore rules

🧪 Installation

Prerequisites

• Python 3.8 or higher
• pip package manager

Steps

1. Clone the Repository

   git clone https://github.com/quadeqx/c-scientist.git
   cd c-scientist

2. Create a Virtual Environment

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Run the Application

   python3 main.py

🐳 Docker Deployment

For containerized deployment, refer to the Docker Setup Guide.

🎁 App Image Build

Build using:

appimage-builder --recipe AppImageBuilder.yml

To see the logs add --log DEBUG flag

🛠️ Technologies Used

• Programming Language: Python 3
• GUI Framework: PyQt
• Data Visualization: pyqtgraph
• APIs: Binance, Bybit

🧑‍💻 Contributing

Contributions are welcome! Please follow these steps:

1. Fork the Repository

2. Create a New Branch

   git checkout -b feature/YourFeatureName

3. Commit Your Changes

   git commit -m "Add Your Feature"

4. Push to Your Fork

   git push origin feature/YourFeatureName

5. Create a Pull Request

📄 License

This project is licensed under the GNU General Public License v2.0.