📙 Building Low Latency Applications with C++ [2023] Sourav Ghosh
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This book is for C++ developers who want to gain expertise in low latency applications and effective design and development strategies. C++ software engineers looking to apply their knowledge to low latency trading systems such as HFT will find this book useful to understand which C++ features matter and which ones to avoid. Quantitative researchers in the trading industry eager to delve into the intricacies of low latency implementation will also benefit from this book. Familiarity with Linux and the C++ programming language is a prerequisite for this book.
Sourav Ghosh has worked in several proprietary high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making, and pairs trading strategies for the most liquid global futures contracts. He works as a Senior Quantitative Developer at a trading firm in Chicago. He holds a Masters in Computer Science from the University of Southern California. His areas of interest include Computer Architecture, FinTech, Probability Theory and Stochastic Processes, Statistical Learning and Inference Methods, and Natural Language Processing. #cpp #cplusplus #программирование
💡 Physics.Math.Code // @physics_lib
💾 Скачать книгу
This book is for C++ developers who want to gain expertise in low latency applications and effective design and development strategies. C++ software engineers looking to apply their knowledge to low latency trading systems such as HFT will find this book useful to understand which C++ features matter and which ones to avoid. Quantitative researchers in the trading industry eager to delve into the intricacies of low latency implementation will also benefit from this book. Familiarity with Linux and the C++ programming language is a prerequisite for this book.
Sourav Ghosh has worked in several proprietary high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making, and pairs trading strategies for the most liquid global futures contracts. He works as a Senior Quantitative Developer at a trading firm in Chicago. He holds a Masters in Computer Science from the University of Southern California. His areas of interest include Computer Architecture, FinTech, Probability Theory and Stochastic Processes, Statistical Learning and Inference Methods, and Natural Language Processing. #cpp #cplusplus #программирование
💡 Physics.Math.Code // @physics_lib
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