C++ for Finance: Writing Fast and Reliable Trading Algorithms
Robert Johnson
Oct 2024 · HiTeX Press
Ebook
309
Pages
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About this ebook
"C++ for Finance: Writing Fast and Reliable Trading Algorithms" serves as an essential guide for both aspiring developers and seasoned finance professionals eager to exploit the power of C++ in trading systems. Addressing the imperative need for speed and precision in financial markets, this book combines comprehensive programming instruction with financial strategies, providing a foundation in C++ that is both technically robust and directly applicable to finance. Each chapter is thoughtfully structured to impart the necessary skills, from understanding financial data structures and advanced C++ concepts, to integrating real-time data feeds and executing sophisticated trading algorithms.
With a keen focus on practical application, the book delves into the intricacies of designing, testing, and deploying trading systems. Readers will benefit from detailed discussions on risk management, performance optimization, and automated trade execution, ensuring they are equipped to build systems that are not only innovative but also reliable and secure. Designed to transition seamlessly from basic concepts to advanced strategies, this guide offers the knowledge required to thrive in the dynamic field of algorithmic trading, empowering readers to contribute meaningfully to the future of financial technology.
With a keen focus on practical application, the book delves into the intricacies of designing, testing, and deploying trading systems. Readers will benefit from detailed discussions on risk management, performance optimization, and automated trade execution, ensuring they are equipped to build systems that are not only innovative but also reliable and secure. Designed to transition seamlessly from basic concepts to advanced strategies, this guide offers the knowledge required to thrive in the dynamic field of algorithmic trading, empowering readers to contribute meaningfully to the future of financial technology.
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