Financial Data Analysis with Polygon API and Technical Indicators

Accessing reliable financial data and translating it into actionable insights is a foundational skill for modern market analysis. This text-based course guides you through the process of programmatically fetching stock data and calculating essential technical indicators. You will transition from manual charting to automated data retrieval and analysis. By working through clear explanations and structured Python code snippets, you will learn how to connect to the Polygon API, manage market data, and programmatically calculate indicators to identify trends. What you'll learn: - Understand foundational market data structures and the mechanics of technical indicators. - Configure API connections securely using Python and handle rate limits effectively. - Calculate Simple Moving Averages (SMA) and Exponential Moving Averages (EMA) from raw price data. - Implement momentum and trend-following indicators including MACD and RSI. - Apply modern Python best practices, including proper type hints and structured data containers, to organize your financial data. The course starts with essential terminology and the mathematical concepts behind moving averages before moving into API configuration and indicator implementation. You will read through step-by-step logic, exploring how to structure your code for clean, reliable financial analysis. This course is designed for beginners interested in financial programming, algorithmic trading concepts, or quantitative analysis, with no prior experience with financial APIs required. Start building your automated financial analysis toolkit today.