If you're reading this, there's a good chance you're part of the intended audience for this course! But to ensure you get the best experience, it's important that the content that follows won't be too basic or advanced for you.

Here are some examples of people that fall into the intended audience for this course:

• A discretionary trader, either retail or professional, with a few years of experience in markets who wants to increase their trading sophistication and efficiency.
• A quantitative trader, either retail or professional, with a few years of experience in markets who has mostly been using simple tools like Excel and TradingView to support their workflow and wants to upgrade to a serious, fully-powered programming language.
• A novice trader who is not yet profitable or experienced but who wants to follow a scientific, systematic approach to trading to ensure their success.
• A software engineer at a bank, hedge fund, or proprietary trading firm with no prior experience in trading who wants to better understand how to apply their skills specifically to financial markets.
• A college or high school student in finance, economics, mathematics, or computer science interested in a career at a high-frequency trading firm or hedge fund who wants to gain an edge over their peers through practical knowledge and strong resumé projects.
• A researcher at an academic institution who wishes to improve their Python development skills for the sake of conducting novel research in financial markets and economics.

These profiles are ones we know will benefit from our curriculum, but if you don't identify with any of them that doesn't necessarily mean this course isn't for you!

No matter who you are, this course will provide you a deeper understanding of both Python programming and patterns for automated trading. Please see the next 2 sections on finance and coding knowledge prerequisites for more information.