Developed a stock trading profitability feature for the DaleStudy/leetcode-study repository, focusing on determining optimal buy and sell times to maximize returns. Approached the problem by implementing both brute-force and optimized algorithms, showcasing a strong grasp of algorithm development and performance optimization. Utilized JavaScript to deliver solutions that enable data-driven decision-making in trading scenarios, with clear and traceable version control practices. The work emphasized problem solving and code quality, resulting in a robust feature without reported bugs. This contribution strengthened the repository’s capabilities in financial analysis and demonstrated disciplined engineering practices within a one-month development period.