C++ High Performance for Financial Systems: Building Efficient and Optimized Financial systems leveraging the power of C++
by: Ariel Silahian (Author)
Publisher:Packt Publishing - ebooks Account
Publication Date: 9 May 2024
Language:English
Print Length:238 pages
ISBN-10:1805124528
ISBN-13:9781805124528
Book Description
An in-depth guide covering topics like system architecture, low-latency strategies, risk management, and machine learning for experienced programmers looking to enter the financial industry and build high-performance trading systems.
Key FeaturesComprehensive guide to building financial trading systemsFocus on scalability, architecture, and implementationMust-read for experienced C++ developers venturing into finance
Book DescriptionUnlock the secrets of the finance industry and dive into the exhilarating world of high-performance trading systems with "C++ High Performance for Financial Systems." If you've ever dreamt of creating lightning-fast, scalable, and cutting-edge financial software, this comprehensive guide is your key to success.Trading systems are the backbone of the financial world, and understanding how to build them with optimal performance is crucial for success. Fortunately, this book covers all aspects of crafting robust and high-performing trading systems, right from the ground up.A cornerstone of this book is its comprehensive coverage of system design and architecture. You'll learn the principles and methodologies behind building systems that can handle vast amounts of data, execute complex trading strategies with ease, and maintain the highest levels of reliability. Armed with this knowledge, you'll be well-equipped to tackle even the most challenging trading scenarios.In the fast-paced world of finance, every millisecond counts. The book delves into low-latency strategies that will enable your trading systems to react with lightning speed. Learn the art of reducing latency, optimizing code, and leveraging the latest hardware and software techniques to gain a competitive edge in the market.
What you will learnDesign architecture of scalable financial trading systemsUnderstand strategies for low-latency trading and high-frequency tradingLearn the implementation of machine learning algorithms for financial data analysisUnderstand risk management techniques for financial trading systemsAdvanced topics in finance and trading, including algorithmic trading and portfolio optimizationUnderstand best practices for developing financial trading systems with C++
Who this book is forThis book is ideal for experienced C++ developers who want to enter the finance industry and learn how trading systems work. It is also suitable for quantitative analysts, financial engineers, and anyone interested in building scalable and robust trading systems. The book assumes familiarity with C++ programming, data structures, and algorithms. Additionally, readers should have a basic understanding of finance and trading concepts, such as market data, trading strategies, and risk management.
Table of contentsIntroduction System Design and ArchitectureHigh Performance Computing in Financial SystemsMachine Learning in Financial SystemsScalability in Financial SystemsLow Latency Strategies and AlgorithmsRisk Management in Financial SystemsAdvanced Topics in Financial SystemsConclusion
About the Author
An in-depth guide covering topics like system architecture, low-latency strategies, risk management, and machine learning for experienced programmers looking to enter the financial industry and build high-performance trading systems.
Key FeaturesComprehensive guide to building financial trading systemsFocus on scalability, architecture, and implementationMust-read for experienced C++ developers venturing into finance
Book DescriptionUnlock the secrets of the finance industry and dive into the exhilarating world of high-performance trading systems with "C++ High Performance for Financial Systems." If you've ever dreamt of creating lightning-fast, scalable, and cutting-edge financial software, this comprehensive guide is your key to success.Trading systems are the backbone of the financial world, and understanding how to build them with optimal performance is crucial for success. Fortunately, this book covers all aspects of crafting robust and high-performing trading systems, right from the ground up.A cornerstone of this book is its comprehensive coverage of system design and architecture. You'll learn the principles and methodologies behind building systems that can handle vast amounts of data, execute complex trading strategies with ease, and maintain the highest levels of reliability. Armed with this knowledge, you'll be well-equipped to tackle even the most challenging trading scenarios.In the fast-paced world of finance, every millisecond counts. The book delves into low-latency strategies that will enable your trading systems to react with lightning speed. Learn the art of reducing latency, optimizing code, and leveraging the latest hardware and software techniques to gain a competitive edge in the market.
What you will learnDesign architecture of scalable financial trading systemsUnderstand strategies for low-latency trading and high-frequency tradingLearn the implementation of machine learning algorithms for financial data analysisUnderstand risk management techniques for financial trading systemsAdvanced topics in finance and trading, including algorithmic trading and portfolio optimizationUnderstand best practices for developing financial trading systems with C++
Who this book is forThis book is ideal for experienced C++ developers who want to enter the finance industry and learn how trading systems work. It is also suitable for quantitative analysts, financial engineers, and anyone interested in building scalable and robust trading systems. The book assumes familiarity with C++ programming, data structures, and algorithms. Additionally, readers should have a basic understanding of finance and trading concepts, such as market data, trading strategies, and risk management.
Table of contentsIntroduction System Design and ArchitectureHigh Performance Computing in Financial SystemsMachine Learning in Financial SystemsScalability in Financial SystemsLow Latency Strategies and AlgorithmsRisk Management in Financial SystemsAdvanced Topics in Financial SystemsConclusion
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