Trading financial instruments using machine learning is an interesting new frontier. Investment and trading techniques have changed dramatically over the past decade as a result of technological and analytic breakthroughs in the financial sector. In particular, machine learning has become an invaluable resource for traders and investors, allowing them to better assess risk, predict market movements, and capitalize on opportunities. This book is meant to serve as your one-stop reference for all things machine learning related to trading financial instruments. This book is intended to provide the reader with the theoretical background and practical abilities essential to succeeding in the realm of algorithmic trading, whether they are a budding quant, a seasoned trader, or a finance enthusiast wanting a better understanding of this constantly growing industry. We’ll explore the foundations of machine learning, its uses in finance, and the unique difficulties and rewards of applying these methods to trading. We will dig into the deep links between market data, and price fluctuations across a wide range of financial market instruments. Although some expertise with finance and programming is assumed, we have worked hard to ensure that this book is accessible to a wide range of readers. To help you learn, we’ll introduce and explain fundamental ideas, methods, and algorithms, and back them up with concrete examples and snippets of code.
