Quantitative Investing with Python: Fundamentals and Strategy Design

Quantitative investing transforms market data into actionable, data-driven financial strategies. This text-based course teaches you the foundational mechanics of quantitative finance and how to write Python code to analyze asset prices, test investment hypotheses, and manage portfolio risk. By progressing through structured written explanations and practical coding exercises, you will develop a clear understanding of modern algorithmic strategy development and data analysis workflows. What you'll learn: - Understand essential financial terminology, market data structures, and quantitative principles - Process and manipulate historical market time series using modern Python data libraries - Calculate key technical indicators, momentum signals, and statistical metrics - Build and backtest rule-based investment strategies to evaluate historical performance - Measure strategy risk and returns using Sharpe ratios, drawdowns, and volatility metrics - Apply basic portfolio allocation models and risk management rules The material begins with core definitions and market mechanics before guiding you step-by-step through data manipulation, signal generation, and backtesting logic. Designed specifically for beginners, this course requires no prior background in finance. Start reading today to build your quantitative investing foundation.