Sourav Ghosh – författare

Fundamentals of Engineering Mathematics bridges the gap between school mathematics and a first year engineering degree providing students with an essential foundation of skills that will be valuable throughout their academic career and beyond. The book covers the key areas including algebra, trigonometry and calculus as well as more detailed coverage of topics such as the equilibrium of bodies, dimensional analysis and experimental data analysis.

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies

Key Features

Understand the power of algorithmic trading in financial markets with real-world examplesGet up and running with the algorithms used to carry out algorithmic tradingLearn to build your own algorithmic trading robots which require no human intervention

Book Description

It’s now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate.

You’ll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You’ll explore the key components of an algorithmic trading business and aspects you’ll need to take into account before starting an automated trading project. Next, you’ll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you’ll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you’ll create a trading bot from scratch using the algorithms built in the previous sections.

By the end of this book, you’ll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets.

What you will learn

Understand the components of modern algorithmic trading systems and strategiesApply machine learning in algorithmic trading signals and strategies using PythonBuild, visualize and analyze trading strategies based on mean reversion, trend, economic releases and moreQuantify and build a risk management system for Python trading strategiesBuild a backtester to run simulated trading strategies for improving the performance of your trading botDeploy and incorporate trading strategies in the live market to maintain and improve profitability

Who this book is for

This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful.

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategiesKey FeaturesUnderstand the power of algorithmic trading in financial markets with real-world examplesGet up and running with the algorithms used to carry out algorithmic tradingLearn to build your own algorithmic trading robots which require no human interventionBook DescriptionIt’s now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate.You’ll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You’ll explore the key components of an algorithmic trading business and aspects you’ll need to take into account before starting an automated trading project. Next, you’ll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you’ll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you’ll create a trading bot from scratch using the algorithms built in the previous sections.By the end of this book, you’ll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets.What you will learnUnderstand the components of modern algorithmic trading systems and strategiesApply machine learning in algorithmic trading signals and strategies using PythonBuild, visualize and analyze trading strategies based on mean reversion, trend, economic releases and moreQuantify and build a risk management system for Python trading strategiesBuild a backtester to run simulated trading strategies for improving the performance of your trading botDeploy and incorporate trading strategies in the live market to maintain and improve profitabilityWho this book is forThis book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful.

Use your programming skills to create and optimize high-frequency trading systems in no time with Java, C++, and PythonKey FeaturesLearn how to build high-frequency trading systems with ultra-low latencyUnderstand the critical components of a trading systemOptimize your systems with high-level programming techniquesBook 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 learnUnderstand the architecture of high-frequency trading systemsBoost system performance to achieve the lowest possible latencyLeverage the power of Python programming, C++, and Java to build your trading systemsBypass your kernel and optimize your operating systemUse static analysis to improve code developmentUse C++ templates and Java multithreading for ultra-low latencyApply your knowledge to cryptocurrency tradingWho this book is forThis 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.

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 latencyUnderstand the critical components of a trading systemOptimize your systems with high-level programming techniques

Book Description

The 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 systemsBoost system performance to achieve the lowest possible latencyLeverage the power of Python programming, C++, and Java to build your trading systemsBypass your kernel and optimize your operating systemUse static analysis to improve code developmentUse C++ templates and Java multithreading for ultra-low latencyApply 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.

Explore techniques to design and implement low latency applications and study the impact of latency reductionPurchase of the print or Kindle book includes a free PDF eBook

Key Features

Understand the impact application performance latencies have on different business use casesDevelop a deep understanding of C++ features for low latency applications through real-world examples and performance dataLearn how to build all the components of a C++ electronic trading system from scratch

Book Description

C++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies.With this book, you’ll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You’ll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch.You’ll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you’ll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you’ll get to grips with measuring and optimizing the performance of your trading system.By the end of this book, you’ll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies.

What you will learn

Gain insights into the nature of low latency applications across various industriesUnderstand how to design and implement low latency applicationsExplore C++ design paradigms and features for low latency developmentDiscover which C++ features are best avoided in low latency developmentImplement best practices and C++ features for low latencyMeasure performance and improve latencies in the trading system

Who this book is for

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.

Explore techniques to design and implement low latency applications and study the impact of latency reductionPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesUnderstand the impact application performance latencies have on different business use casesDevelop a deep understanding of C++ features for low latency applications through real-world examples and performance dataLearn how to build all the components of a C++ electronic trading system from scratchBook DescriptionC++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies.With this book, you’ll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You’ll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch.You’ll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you’ll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you’ll get to grips with measuring and optimizing the performance of your trading system.By the end of this book, you’ll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies.What you will learnGain insights into the nature of low latency applications across various industriesUnderstand how to design and implement low latency applicationsExplore C++ design paradigms and features for low latency developmentDiscover which C++ features are best avoided in low latency developmentImplement best practices and C++ features for low latencyMeasure performance and improve latencies in the trading systemWho this book is forThis 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.