商品簡介
This is a one-of-a-kind book that opens the black box of practical, ultra-low-latency Java engineering for high-frequency trading, RFQ systems, market making, and systematic trading in banks and hedge funds. It covers the complete trading lifecycle-from acquisition and crossing to liquidation. Rather than focusing on theory, the book explores hands-on techniques used in production, from JVM tuning, concurrency, and off-heap design to CPU, Unix, and network optimization, showing how modern trading firms push Java toward C++-level performance complemented by practical flavors of quant. It also explores AI-assisted development through MCP tool suite, RAG, 2nd brain tailored to understand, develop, and maintain large-scale trading applications.
The author has 18 years of experience in e-trading, quantitative development, and low-latency trading systems at JP Morgan, Citi, State Street, Jefferies, Credit Suisse, Barclays, and Bloomberg in London and New York. This book is for anyone working with, or looking to enter, high-performance financial technology-from hands-on developers to architects. Developers preparing for low-latency Java interviews will find real interview questions and practical guidance, while senior engineers and technology leaders can focus on the architectural concepts without diving into every implementation detail.
Developers from outside finance will find it a practical introduction to trading technology and a path into financial systems. And for developers looking to excel in AI-assisted software engineering, the final chapters on AI, MCP, RAG, and building an AI-powered for large applications provide particularly valuable, hands-on guidance.
