How do I get started with trading in programming and what are the best resources for a beginner like me?

Welcome to the world of trading in programming. It's an exciting field that combines finance and coding, and I'm happy to help you get started. First, let's talk about the basics. Trading in programming involves using code to automate trading decisions, and it's a field that's growing rapidly. You've already taken the first step by learning Python, which is a popular language used in trading.

Now, let's talk about the platforms you mentioned. QuantConnect and Zipline are both popular open-source platforms for backtesting and executing algorithmic trading strategies. QuantConnect is a .NET-based platform that allows you to write trading strategies in C# or F#, while Zipline is a Python-based platform that's specifically designed for backtesting and evaluating trading strategies. Both platforms have their own strengths and weaknesses, and the choice between them will depend on your personal preferences and goals.

To get started with either platform, I recommend checking out their documentation and tutorials. QuantConnect has an excellent tutorial series that covers the basics of trading in programming, including how to write and backtest trading strategies. Zipline also has a comprehensive documentation set that includes tutorials, examples, and a user guide. You can also find plenty of resources online, including YouTube tutorials, blog posts, and online courses.

Now, let's talk about some key concepts you'll need to learn. Backtesting is the process of evaluating a trading strategy using historical data, and it's an essential step in developing and refining a trading strategy. Algorithmic trading refers to the use of computer programs to automate trading decisions, and it's a key aspect of trading in programming. You'll also need to learn about technical indicators, which are used to analyze market data and make trading decisions.