Financial Analysis: Build a Pairs Trading Bot with ChatGPT

Algorithmic trading no longer requires a PhD in mathematics or years of software engineering experience. By leveraging the power of ChatGPT, you can translate complex financial strategies into working Python code even as a beginner. This text-based course guides you through the process of conceptualizing, writing, and testing a pairs trading bot. You will learn how to use AI as a coding assistant to analyze market data, identify correlated asset pairs, and implement automated entry and exit rules. What you'll learn: 1. Understand the core mathematical concepts of pairs trading, co-integration, and mean reversion. 2. Apply ChatGPT prompt engineering techniques to generate clean, functional Python code. 3. Analyze historical financial data using modern data libraries to identify profitable asset pairs. 4. Build a robust backtesting framework to evaluate your trading strategy's performance. 5. Implement modern Python best practices, including type hints and structured environment management. 6. Configure risk management rules to protect capital and automate trade execution logic. You will start with the fundamental principles of quantitative finance and statistical arbitrage before moving on to hands-on script generation. Through detailed written explanations and structured code walkthroughs, you will refine your bot's logic using AI-driven code reviews. This course is designed for aspiring quantitative traders, financial analysts, and programmers interested in algorithmic trading. No prior experience with pairs trading or advanced Python is required, though a basic familiarity with programming concepts is helpful. Start reading today to build your first AI-assisted trading bot from scratch.