Category: Programming

Investors frequently face the challenge of assessing whether an asset’s return justifies its risk. This is where the Sharpe Ratio becomes invaluable, providing a measure that accounts for both returns and risk in a single metric. In this post, we’ll go over how to calculate and interpret the Sharpe Ratio in Python, using real stock

Introduction In this post, we’ll explore how to use Python programming to compare the performance of two investment firms, Invesco and Blackstone. Invesco is known for its focus on public asset management, while Blackstone specializes in private equity, actively acquiring and managing companies. We’ll examine some key performance and risk metrics to understand how these

Python strives to be simple and clear, so some operations are implemented as built-in functions, while others are object-specific methods. This distinction arises from the way Python handles different types of objects. Built-in Functions len() is a built-in function that works with many different types, including strings, lists, tuples, dictionaries, and more. This allows for

Logging is a vital part of any application, offering insights into the application’s flow, performance, and error handling. In many scenarios, you may want to log messages both to the console and a file, but with different levels of detail. For example, you might display INFO and WARNING messages in the console while logging more

In this blog post, I’ll show you how to download a JSON file from the U.S. Securities and Exchange Commission (SEC) website using Python. The file contains company tickers, which can be useful for various financial analyses and applications. Steps to Download the File Here’s a complete Python script that handles the download: Run the