Stock Trading System Features and Coding Interview Prep

Landing a software engineering role in financial technology requires a deep understanding of both domain-specific systems and core algorithmic principles. This course bridges the gap by showing you how real-world stock trading mechanics inspire common technical interview challenges. You will transition from understanding basic financial concepts to writing efficient code that solves complex algorithmic problems. By studying the inner workings of market data and order matching, you will build the mental models needed to tackle technical interview questions with confidence. What you'll learn: • Understand foundational trading concepts including limit order books, bid-ask spreads, and market orders. • Analyze how matching engines process transactions using optimal data structures like heaps and doubly linked lists. • Apply algorithmic strategies to solve classic interview problems such as tracking running stock maximums and calculating optimal buy/sell times. • Practice writing clean, readable code snippets to implement core trading system features. • Evaluate time and space complexity to ensure your solutions meet high-performance standards. The course begins with essential terminology and the mechanics of financial markets, then progresses to step-by-step written breakdowns of key coding challenges. You will read conceptual explanations, study structured code examples, and reinforce your knowledge with practical text-based exercises. This course is designed for aspiring software engineers and developers looking to enter the financial technology sector, with no prior trading background required. Start reading today to master the intersection of financial systems and technical interview prep.