Stock Trading Patterns for Coding Interviews

Technical interviews at top companies frequently use stock trading scenarios to test your problem-solving and algorithmic skills. Understanding the core patterns behind these questions is key to writing clean, optimized code under pressure. This written course guides you through the fundamental algorithms used to solve stock trading problems, moving from basic brute-force approaches to highly optimized dynamic programming solutions. You will learn how to recognize problem variations, analyze complexity, and structure your code cleanly. What you will learn: - Understand foundational stock trading problem patterns and their mathematical structures; - Apply dynamic programming and greedy algorithms to maximize simulated profits; - Analyze time and space complexity using Big O notation to ensure optimal performance; - Implement clean, readable solutions using modern coding practices like type hinting; - Recognize common variations including transaction fees, cooldown periods, and limited trades; - Practice translating word problems into structured, step-by-step algorithms. We begin with basic terminology and foundational arrays, then gradually progress to complex state machines and multi-transaction scenarios, analyzing each approach through clear text explanations and code snippets. This course is designed for beginner to intermediate software engineers preparing for coding interviews, with no advanced algorithmic background required. Start reading today to build a systematic approach to technical interview success.