Coding Interview Patterns: Stock Trading Algorithms

Cracking the technical interview requires more than just memorizing solutions; it demands recognizing core algorithmic patterns. Stock trading challenges are among the most frequent questions asked during technical assessments because they test your ability to optimize time and space complexity. This text-based course guides you through the fundamental concepts of array manipulation, greedy strategies, and dynamic programming. You will learn how to break down complex problem statements, recognize optimal substructures, and write clean, efficient code. In this course, you will: Learn foundational algorithmic concepts and big-O complexity analysis; Apply sliding window techniques to track price fluctuations over time; Implement greedy algorithms to maximize profits across multiple transactions; Design dynamic programming frameworks for complex scenarios with transaction fees; Write clean code using modern programming standards and type hints; Analyze edge cases and optimize brute-force approaches into optimal solutions. We begin with basic terminology and foundational array operations before progressing to advanced optimization strategies. Through clear written explanations and step-by-step code walkthroughs, you will build a robust mental model for solving algorithmic problems. This course is designed for aspiring software engineers and developers preparing for technical interviews. No advanced algorithmic background is required, as we build all concepts from the ground up. Start reading today to sharpen your problem-solving skills and ace your next technical interview.