Quantitative Trading: Decryption of the Technologies Behind It

The core of quantification is technology, and models and algorithms are the "star map" structure for interpreting the market. This book focuses on the technical core of quantitative trading, from basics to cutting-edge systems: the theoretical chapter analyzes hard-core knowledge such as artificial intelligence, support vector machines, and fractal theory to consolidate the technical foundation; the practical chapter explains in detail the application of machine learning in strategies—how to use AI to mine high-frequency data features and use deep learning to optimize investment portfolios, and even comes with complete code examples and debugging guides. The book also discloses the logic of building a quantitative system, from data interface design to strategy engine development, restoring the entire process of quants "building a profit system with code". It is suitable for technical practitioners such as financial engineers and quantitative researchers, as well as experienced investors who want to delve into the black box of strategies.