Building AI Trading Agents: Backtesting and Risk Management

Algorithmic trading is no longer just for institutional investors. By leveraging modern AI tools, anyone can learn to build intelligent agents that analyze market trends and test trading strategies. This text-based course takes you from understanding basic financial markets to designing your own AI-assisted trading algorithms. You will learn how to process market data, construct automated trading logic, and rigorously backtest your ideas while maintaining strict risk management protocols. What you'll learn: • Understand foundational trading terminology, market mechanics, and algorithmic concepts. • Design AI agents capable of parsing financial data and generating basic trading signals. • Apply prompt engineering techniques to analyze market sentiment using large language models. • Practice backtesting trading strategies using historical data to evaluate performance. • Implement robust risk management rules to protect your portfolio from severe drawdowns. • Process financial datasets efficiently using modern Python dataframe conventions. The journey begins with essential trading vocabulary and basic AI concepts before moving into practical algorithm design. You will read through step-by-step written explanations and explore code snippets that demonstrate how to build, test, and refine a trading agent. Designed completely for beginners, this course requires no prior experience in finance or programming. Start building your foundation in AI-driven algorithmic trading today.