{"id":15760517,"url":"https://github.com/bonelesswater/tradingbot","last_synced_at":"2025-12-30T20:28:22.077Z","repository":{"id":246997674,"uuid":"817103821","full_name":"BonelessWater/TradingBot","owner":"BonelessWater","description":"This project is a web application for a trading bot that displays financial data and indicators. 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It includes functionality for researching financial data, displaying market indicators, and more.\n\n## Table of Contents\n\n- [Project Overview](#project-overview)\n- [Features](#features)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Configuration](#configuration)\n- [Running Tests](#running-tests)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Project Overview\n\nThe Django Trading Bot is designed to help users analyze financial data and market indicators. It provides a user-friendly interface to view financial metrics, perform technical analysis, and offers additional functionalities like the efficient portfolio with the most recent stock market data and AI news sentiment analysis.\n\n## Features\n\n- Display financial data for selected stocks\n- Show technical indicators like SMA, EMA, Bollinger Bands, RSI, MACD, and Stochastic\n- Interactive research page to view stock data and charts\n- Generate an efficient portfolio with the latest stock market data\n- AI-powered news sentiment analysis for informed decision-making\n- Admin panel for managing data and settings\n\n## Installation\n\nFollow these steps to set up the project on your local machine.\n\n### Prerequisites\n\n- Python 3.7+\n- Django 3.0+\n- Virtualenv (optional but recommended)\n\n### Steps\n\n1. **Clone the repository**\n\n    ```sh\n    git clone https://github.com/yourusername/django-trading-bot.git\n    cd django-trading-bot\n    ```\n\n2. **Create and activate a virtual environment**\n\n    ```sh\n    python -m venv env\n    source env/bin/activate  # On Windows use `env\\Scripts\\activate`\n    ```\n\n3. **Install the required packages**\n\n    ```sh\n    pip install -r requirements.txt\n    ```\n\n4. **Apply migrations**\n\n    ```sh\n    python manage.py migrate\n    ```\n\n5. **Run the development server**\n\n    ```sh\n    python manage.py runserver\n    ```\n\n6. **Access the application**\n\n    Open your browser and go to `http://127.0.0.1:8000/`.\n\n## Usage\n\n### Admin Panel\n\n- Access the admin panel at `http://127.0.0.1:8000/admin/`.\n- Create a superuser to access the admin panel:\n\n    ```sh\n    python manage.py createsuperuser\n    ```\n\n### Research Page\n\n- Visit `http://127.0.0.1:8000/research/` to use the research functionalities.\n- Click on the stock tickers to view detailed financial data and indicators.\n\n### Efficient Portfolio\n\n- Visit `http://127.0.0.1:8000/portfolio/` to view the efficient portfolio generated using the most recent stock market data.\n\n### AI News Sentiment Analysis\n\n- Visit `http://127.0.0.1:8000/news-sentiment/` to see AI-powered news sentiment analysis, helping you make informed trading decisions.\n\n## Configuration\n\n- Update settings in `settings.py` as per your environment and requirements.\n- Configure database settings, email settings, and other environment-specific variables.\n\n## Running Tests\n\n- Run tests using the following command:\n\n    ```sh\n    python manage.py test\n    ```\n\n## Contributing\n\nWe welcome contributions! Please read `CONTRIBUTING.md` for details on our code of conduct and the process for submitting pull requests.\n\n## License\n\nThis project is licensed under the MIT License. See the `LICENSE` file for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbonelesswater%2Ftradingbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbonelesswater%2Ftradingbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbonelesswater%2Ftradingbot/lists"}