Introduction to AI-Driven Algorithmic Trading

Financial markets move faster than ever, and artificial intelligence is changing how trading decisions are made. Understanding how to apply AI to algorithmic trading gives you a modern edge in analyzing market data and automating strategies. This text-only course guides you from financial and AI fundamentals to designing your first automated trading concepts. You will transition from manual analysis to thinking like a quantitative developer, understanding how algorithms process market data to execute trades. What you will learn: Understand the core terminology and mathematical foundations of algorithmic trading and machine learning; Analyze financial market data using modern dataframe libraries for efficient data manipulation; Build foundational machine learning models to predict asset price movements and identify trends; Implement basic natural language processing to extract market sentiment from news feeds; Design and backtest simple trading strategies using historical data to evaluate performance; Evaluate risks and apply risk management principles to automated trading systems. The course begins with foundational definitions of market mechanics and AI concepts before walking you through data preparation, model selection, and strategy evaluation. It is designed for beginners, financial enthusiasts, and aspiring quantitative analysts with no prior algorithmic trading experience. Start your journey into the world of AI-driven trading today.