Dr. Xiangyu Zong's monograph "Machine Learning and Quantitative Trading: Applied Analysis of Financial Market Forecasting and Trading Decision Process" was officially published by China Finance and Economics Press in October 2022.

Price prediction and transaction decision in financial market are two basic actions of financial activities. Traders use experience or statistical data to predict the market and then calculate and make trading decisions in favor of returns. In this process, traditional traders make predictions and decisions with a great deal of personal experience. Then, if these two steps are supported by big data and completed by machine learning algorithm, can they achieve better results? Can there be arbitrage opportunities? This book focuses on two areas where machine learning algorithms are applied to quantitative trading. First, this book describes the theory and application of support vector machine and its derivative algorithms and various artificial neural network algorithms in the field of financial price prediction. Second, based on the paired trading strategy, the book uses deep reinforcement learning algorithm to optimize the trading decision-making process. For each algorithm, this book provides a feasible algorithm strategy combined with the actual financial market, and a flow chart is attached for readers' reference.