Python for Stock Market Analysis and Investment Backtesting

Ever wondered how professional investors evaluate their strategies before risking real capital? By writing your own Python scripts, you can test your financial ideas against historical market data to see how they would have performed. This text-based course guides you through the foundational concepts of financial data analysis and backtesting. You will learn to read and write Python code that imports stock price data, calculates key performance metrics, and simulates trading rules safely on your own computer. What you'll learn: - Understand key financial terminology, stock market indicators, and the core principles of backtesting. - Import and clean historical stock market data using modern Python libraries. - Calculate moving averages and other technical indicators to identify potential market trends. - Build a programmatic trading simulation to test simple buy and sell rules. - Evaluate strategy performance by measuring returns, drawdowns, and risk metrics. - Set up a clean, modern Python virtual environment designed for financial data analysis. The journey begins with essential financial concepts and Python setup before moving step-by-step into data manipulation, strategy design, and simulated performance evaluation. This course is designed for beginners with a basic grasp of Python who want to apply their skills to finance, requiring no prior background in stock trading or advanced statistics. Start reading today to turn your financial ideas into testable, data-driven investment simulations.