Financial Analysis: Build a ChatGPT Pairs Trading Bot

The "Financial Analysis: Build a ChatGPT Pairs Trading Bot" course, developed by Lazy Programmer Inc., offers a highly practical, modern approach to algorithmic trading by combining artificial intelligence with traditional quantitative finance. Designed for beginners, this comprehensive 7.5-hour program teaches students how to leverage OpenAI's ChatGPT to write clean, effective Python code for financial analysis and automated trading. Throughout the curriculum, learners explore the mechanics of pairs trading—a market-neutral strategy used extensively by hedge funds—while learning how to calculate crucial financial metrics like z-scores, cumulative returns, log returns, and portfolio performance. What sets this course apart is its realistic look at AI-assisted development. Instead of presenting ChatGPT as a flawless magic wand, the instructor guides students through common coding mistakes, debugging techniques, and the limitations of large language models in quantitative analysis. By working with real-world datasets across diverse asset classes like stocks, forex, and major cryptocurrencies such as Bitcoin and Ethereum, participants gain versatile data science skills. Whether you are an aspiring quantitative developer, an online investor looking to automate your strategies, or a data science enthusiast eager to apply Python to financial markets, this course provides the structured path needed to build, refine, and deploy your own automated trading systems safely.