Quantitative finance is the art and science of using data and machine learning to uncover hidden patterns in financial markets. By analyzing historical trends and real-time signals, we aim to improve the probability of making successful trades and informed investment decisions. The goal is to shift the odds in our favor—not through guesswork, but through rigorous modeling and data-driven insights. Below are some of the key techniques used to build robust quantitative models that can adapt to changing market conditions and deliver predictive power.