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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
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 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.
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 examples
Get up and running with the algorithms used to carry out
algorithmic trading Learn to build your own algorithmic trading
robots which require no human intervention Book 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 learn Understand the components of modern algorithmic
trading systems and strategies Apply machine learning in
algorithmic trading signals and strategies using Python Build,
visualize and analyze trading strategies based on mean reversion,
trend, economic releases and more Quantify and build a risk
management system for Python trading strategies Build a backtester
to run simulated trading strategies for improving the performance
of your trading bot Deploy and incorporate trading strategies in
the live market to maintain and improve profitability Who 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.
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