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.
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9781066888009
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. 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. 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. The author has 18 years of experience at JP Morgan, Citi, Barclays, Credit Suisse, and Bloomberg. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781066888009
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781066888009
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781066888009
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. 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. 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. The author has 18 years of experience at JP Morgan, Citi, Barclays, Credit Suisse, and Bloomberg. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781066888009
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9781066888009
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