{"id":18075790,"url":"https://github.com/techcsispit/algorithmic-trading","last_synced_at":"2025-09-04T01:39:22.506Z","repository":{"id":259001575,"uuid":"865588570","full_name":"techcsispit/Algorithmic-Trading","owner":"techcsispit","description":"This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. 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It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.\n\n## Requirements\n- Python\n- Jupyter Notebook\n- Libraries: NumPy, Pandas (if applicable)\n\n## Installation\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/techcsispit/Algorithmic-Trading\n   ```\n2. Navigate to the project folder:\n   ```bash\n   cd algorithmic-training\n   ```\n3. Install required libraries:\n   ```bash\n   pip install yfinance\n   pip install pandas\n   pip install numpy\n   pip install matplotlib\n   ```\n4. Start Jupyter Notebook:\n   ```bash\n   jupyter notebook\n   ```\n\n## Contributing\nContributions are welcome! Please follow these steps:\n\n   1. Creating an Issue: Before making any changes, create an issue explaining what you'd like to add or change and why\n   2. Fork the repository.\n   3. Create a new branch for your feature or bug fix.\n   4. Make your changes and commit them.\n   5. Push your changes to your forked repository.\n   6. Open a pull request detailing your changes.\n\n## Raising an Issue\nIf you encounter any bugs or have feature requests, please create an issue in the repository. Provide detailed information to assist in addressing the problem.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftechcsispit%2Falgorithmic-trading","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftechcsispit%2Falgorithmic-trading","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftechcsispit%2Falgorithmic-trading/lists"}