FastAPI Application

Dogs of Dow
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This is a high-performance web application built with FastAPI, one of the fastest Python web frameworks, known for its speed comparable to Node.js and Go.

The primary function of this application is to display the current trend direction for the top 10 high-yield dividend members of the Dow Jones Industrial Index, as included in Yahoo Finance's database. After receiving user input, the application utilizes Pandas Datareader to access historical stock data, analyze trends, and provide recommendations. It presents analyzed data in an easy-to-understand format, helping users make informed investment decisions.

Key Features:

  • FastAPI Framework

    Speed and Efficiency: Built with FastAPI, ensuring high performance and speed comparable to Node.js and Go. FastAPI allows for rapid development and efficient execution.

    Dependency Injection: Facilitates the creation of plugins through an easy-to-use dependency injection system, enhancing modularity and scalability.


  • Data Validation and Conversion

    Path Operation Functions: Ensures data integrity through well-defined request handlers, validating and converting data as necessary.


  • User Authentication

    HTTPBasicCredentials: Implements a secure user authentication system using HTTPBasicCredentials to validate user credentials.

    Password Hashing: Utilizes Werkzeug Security for hashing passwords and verifying their correctness, enhancing security.


  • Error Handling

    HTTPException: Employs FastAPI’s HTTPException to handle errors effectively, providing meaningful feedback to users in case of incorrect credentials or other issues.


  • Template Rendering

    Jinja2Templates: Leverages Jinja2 for rendering dynamic HTML content, ensuring a seamless user experience with dynamic and responsive web pages.


  • Performance Optimization:

    HTML and CSS Minification: Reduces webpage loading times by minifying HTML and CSS files, enhancing overall performance and user experience.

    Background Data Fetching: Moves data fetching operations to a background thread, avoiding delays and ensuring smooth performance.