The Quantitative Strategies Department of the Esade Student Finance Society (ESFS) is dedicated to producing rigorous research on systematic investing, data-driven decision-making, and the mathematical foundations of modern finance. Our team of students analyzes quantitative models, factor strategies, portfolio optimization, and algorithmic trading, with a focus on understanding how financial signals are generated, evaluated, and sustained over time. By combining concepts from finance, statistics, and computer science, we aim to explore the strengths and limitations of quantitative approaches, assess model risk and performance dynamics, and contribute clear, analytical perspectives to the broader financial discourse within the Esade community