Stock Monitoring Platform

This project is a stock monitoring platform that allows users to create and manage their own watchlists of stock symbols and monitor the latest stock values. The platform consists of a backend built with Django and a frontend built with React.

Backend Architecture

Database Schema

The backend uses a simple database schema with three models:

• User: Represents a user of the platform. This model is provided by Django's built-in authentication system.
• Watchlist: Represents a watchlist created by a user, containing a list of stock symbols.

API Endpoints

The backend provides the following API endpoints:

• /api/users/:
  • GET: Retrieves a list of all users.
  • POST: Creates a new user.
• /api/users//:
  • GET: Retrieves details of a specific user.
• /api/watchlists/:
  • GET: Retrieves a list of watchlists for the authenticated user.
  • POST: Creates a new watchlist for the authenticated user.
• /api/watchlists//:
  • GET: Retrieves details of a specific watchlist for the authenticated user.
  • DELETE: Deletes a specific watchlist for the authenticated user.

Authentication Mechanism

The backend uses token-based authentication provided by Django REST Framework. Users are required to authenticate using their username and password to access protected endpoints. Upon successful authentication, a token is provided, which must be included in subsequent requests to authenticate the user.

Installation and Setup

Backend

1. Clone the repository: git clone <repository_url>

2. Install dependencies: pip install -r requirements.txt

3. Create a virtual environment: python -m venv venv

4. Activate the virtual environment:

   • On Windows: venv\Scripts\activate
   • On macOS/Linux: source venv/bin/activate

5. Navigate to the backend directory: cd stock_monitor

6. Apply database migrations: python manage.py migrate

7. Run the development server: python manage.py runserver

8. The backend will be accessible at http://localhost:8000

Frontend

1. Navigate to the frontend directory: cd src
2. Install dependencies: npm install
3. Start the development server: npm start
4. The frontend will be accessible at http://localhost:3000

Now, you can access the application at http://localhost:3000 and start monitoring stocks!

Feel free to reach out if you have any questions or encounter any issues during setup!