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 with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master’s 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.
Sourav Ghosh
Tytuły autora: Sourav Ghosh dostępne w księgarni Ebookpoint
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Promocja
Low latency applications have very strict performance requirements, which demands a deep understanding of such apps and the C++ programming language constructs. This book will help you learn about the business impact of reduced latencies and the engineering principles and C++ programming techniques required to achieve the lowest latencies possible.- PDF + ePub 116 pkt
(29,90 zł najniższa cena z 30 dni)
116.10 zł
129.00 zł (-10%) -
Promocja
This book is a practical guide to the fast-paced world of high-frequency trading and covers all the tools and strategies required to create and optimize high-frequency trading systems. It will help you become an expert algorithmic trader in no time.- PDF + ePub 134 pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł (-10%) -
Promocja
This book focuses on key Python analytics and algorithmic trading libraries used for backtesting. With the help of practical examples, you will learn the principle aspects of trading strategy development. The 14 profitable strategies included in the book will also help you build intuitions that will enable you to create your own strategy.- PDF + ePub + Mobi 125 pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł (-10%)
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