Financial Data Analysis in Python with the YH Finance API

In the world of finance, timely data is everything, but manually tracking stock market trends is both slow and inefficient. This text-based course guides you through the process of programmatically retrieving and analyzing financial chart data using Python. You will transition from manual tracking to automating your financial research, learning how to query API endpoints, process historical stock trends, and perform side-by-side comparisons of different securities. What you'll learn: - Understand foundational financial API concepts, authentication, and endpoint structures. - Retrieve detailed historical stock chart data using the YH Finance API. - Parse and clean raw API responses into structured Python data structures. - Compare multiple securities side-by-side to identify market trends. - Apply modern Python type hints and robust error handling to your financial scripts. - Analyze trends and calculate key performance metrics from chart data. The course begins with core definitions of financial data structures, API requests, and authentication. From there, you will progress to writing clean, structured Python code to fetch, format, and compare stock data. Designed for absolute beginners in financial programming, this course requires only basic Python knowledge and no prior experience with finance APIs. Start building your financial data pipeline today.