A Low Latency Fpga Accelerated High Frequency Trading System
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A Low Latency Fpga Accelerated High Frequency Trading System
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Author : Hung-An Chen
language : en
Publisher:
Release Date : 2021
A Low Latency Fpga Accelerated High Frequency Trading System written by Hung-An Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Principles And Structures Of Fpgas
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Author : Hideharu Amano
language : en
Publisher: Springer
Release Date : 2018-09-03
Principles And Structures Of Fpgas written by Hideharu Amano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Computers categories.
This comprehensive textbook on the field programmable gate array (FPGA) covers its history, fundamental knowledge, architectures, device technologies, computer-aided design technologies, design tools, examples of application, and future trends. Programmable logic devices represented by FPGAs have been rapidly developed in recent years and have become key electronic devices used in most IT products. This book provides both complete introductions suitable for students and beginners, and high-level techniques useful for engineers and researchers in this field. Differently developed from usual integrated circuits, the FPGA has unique structures, design methodologies, and application techniques. Allowing programming by users, the device can dramatically reduce the rising cost of development in advanced semiconductor chips. The FPGA is now driving the most advanced semiconductor processes and is an all-in-one platform combining memory, CPUs, and various peripheral interfaces. This book introduces the FPGA from various aspects for readers of different levels. Novice learners can acquire a fundamental knowledge of the FPGA, including its history, from Chapter 1; the first half of Chapter 2; and Chapter 4. Professionals who are already familiar with the device will gain a deeper understanding of the structures and design methodologies from Chapters 3 and 5. Chapters 6–8 also provide advanced techniques and cutting-edge applications and trends useful for professionals. Although the first parts are mainly suitable for students, the advanced sections of the book will be valuable for professionals in acquiring an in-depth understanding of the FPGA to maximize the performance of the device.
Developing High Frequency Trading Systems
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Author : Sebastien Donadio
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-06-17
Developing High Frequency Trading Systems written by Sebastien Donadio and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-17 with Computers categories.
Use your programming skills to create and optimize high-frequency trading systems in no time with Java, C++, and Python Key Features Learn how to build high-frequency trading systems with ultra-low latency Understand the critical components of a trading system Optimize your systems with high-level programming techniques Book DescriptionThe world of trading markets is complex, but it can be made easier with technology. Sure, you know how to code, but where do you start? What programming language do you use? How do you solve the problem of latency? This book answers all these questions. It will help you navigate the world of algorithmic trading and show you how to build a high-frequency trading (HFT) system from complex technological components, supported by accurate data. Starting off with an introduction to HFT, exchanges, and the critical components of a trading system, this book quickly moves on to the nitty-gritty of optimizing hardware and your operating system for low-latency trading, such as bypassing the kernel, memory allocation, and the danger of context switching. Monitoring your system’s performance is vital, so you’ll also focus on logging and statistics. As you move beyond the traditional HFT programming languages, such as C++ and Java, you’ll learn how to use Python to achieve high levels of performance. And what book on trading is complete without diving into cryptocurrency? This guide delivers on that front as well, teaching how to perform high-frequency crypto trading with confidence. By the end of this trading book, you’ll be ready to take on the markets with HFT systems.What you will learn Understand the architecture of high-frequency trading systems Boost system performance to achieve the lowest possible latency Leverage the power of Python programming, C++, and Java to build your trading systems Bypass your kernel and optimize your operating system Use static analysis to improve code development Use C++ templates and Java multithreading for ultra-low latency Apply your knowledge to cryptocurrency trading Who this book is for This book is for software engineers, quantitative developers or researchers, and DevOps engineers who want to understand the technical side of high-frequency trading systems and the optimizations that are needed to achieve ultra-low latency systems. Prior experience working with C++ and Java will help you grasp the topics covered in this book more easily.
Encyclopedia Of Information Science And Technology Third Edition
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Author : Khosrow-Pour, D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2014-07-31
Encyclopedia Of Information Science And Technology Third Edition written by Khosrow-Pour, D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-31 with Computers categories.
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
Algorithmic Trading An Introductory Guide
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Author : SQ2 SYSTEMS AB
language : en
Publisher: SQ2 SYSTEMS AB
Release Date : 2023-09-18
Algorithmic Trading An Introductory Guide written by SQ2 SYSTEMS AB and has been published by SQ2 SYSTEMS AB this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-18 with Business & Economics categories.
Description: If you’ve ever been intrigued by the concept of algorithmic trading but felt overwhelmed by the complexity, “Algorithmic Trading: An Introductory Guide” is your ideal starting point. This book serves as your friendly introduction to the world of automated financial trading. Designed for individuals who are curious about algorithmic trading but don’t have an extensive background in the subject, this book demystifies the basics. It provides a clear and accessible entry point for those interested in understanding how algorithms can make trading decisions. Discover the fundamental principles of algorithmic trading and why it’s become a game-changer in financial markets. Explore how algorithms execute trades with incredible speed and remain free from the influence of human emotions. This introductory guide offers an overview that will satisfy your curiosity without overwhelming you with technical details. “Algorithmic Trading: An Introductory Guide” introduces various types of algorithmic trading strategies, shedding light on the strategies employed by professional traders. From market-making and arbitrage to trend-following and quantitative approaches, this book provides a broad understanding without diving deep into intricacies. Gain insights into the advantages and risks associated with algorithmic trading. Learn how it enhances efficiency and offers robust risk management while also understanding the potential challenges and pitfalls. While the book touches on data analysis, technical and fundamental analysis, and sentiment analysis, it does so in a manner that is easily digestible for beginners. You’ll get a sense of the analytical tools used in algorithmic trading without getting lost in the details. “Algorithmic Trading: An Introductory Guide” is the perfect starting point for those who have contemplated exploring this exciting field. It offers a taste of the world of algorithmic trading, providing you with the confidence to embark on your journey into this transformative realm of finance.
Accelerating Science And Engineering Discoveries Through Integrated Research Infrastructure For Experiment Big Data Modeling And Simulation
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Author : Kothe Doug
language : en
Publisher: Springer Nature
Release Date : 2023-01-17
Accelerating Science And Engineering Discoveries Through Integrated Research Infrastructure For Experiment Big Data Modeling And Simulation written by Kothe Doug and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with Computers categories.
This book constitutes the refereed proceedings of the 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually, during August 23–25, 2022. The 24 full papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: foundational methods enabling science in an integrated ecosystem; science and engineering applications requiring and motivating an integrated ecosystem; systems and software advances enabling an integrated science and engineering ecosystem; deploying advanced technologies for an integrated science and engineering ecosystem; and scientific data challenges.
A Primer For Financial Engineering
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Author : Ali N. Akansu
language : en
Publisher: Academic Press
Release Date : 2015-03-25
A Primer For Financial Engineering written by Ali N. Akansu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-25 with Technology & Engineering categories.
This book bridges the fields of finance, mathematical finance and engineering, and is suitable for engineers and computer scientists who are looking to apply engineering principles to financial markets. The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. Please visit the companion website on http://booksite.elsevier.com/9780128015612/ - Provides engineering perspective to financial problems - In depth coverage of market microstructure - Detailed explanation of High Frequency Trading and 2010 Flash Crash - Explores risk analysis and management - Covers high performance DSP & financial computing
Machine Learning And Modeling Techniques In Financial Data Science
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Author : Chen, Haojun
language : en
Publisher: IGI Global
Release Date : 2025-01-22
Machine Learning And Modeling Techniques In Financial Data Science written by Chen, Haojun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.
The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial data science, exploring the strategic roles of machine learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.
Self Aware Computing Systems
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Author : Peter R. Lewis
language : en
Publisher: Springer
Release Date : 2016-07-28
Self Aware Computing Systems written by Peter R. Lewis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-28 with Computers categories.
Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions. This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.
Fpga Based Accelerators For Financial Applications
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Author : Christian De Schryver
language : en
Publisher: Springer
Release Date : 2015-07-30
Fpga Based Accelerators For Financial Applications written by Christian De Schryver and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-30 with Technology & Engineering categories.
This book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depending on the compute tasks. Renowned authors from financial mathematics, computer architecture and finance business introduce the readers into today’s challenges in finance IT, illustrate the most advanced approaches and use cases and present currently known methodologies for integrating FPGAs in finance systems together with latest results. The complete algorithm-to-hardware flow is covered holistically, so this book serves as a hands-on guide for IT managers, researchers and quants/programmers who think about integrating FPGAs into their current IT systems.