موضوعات
آموزش و پرورش
ادبیات و زبان
پزشکی، دندانپزشکی و داروسازی
تاریخ و جغرافیا
داستان و رمان
دیگر
دین و فلسفه
روانشناسی
ریاضیات و آمار
سلامتی، تناسب اندام و رژیم غذایی
شیمی و پلیمر
علوم اجتماعی و حقوق
علوم زیستی و بیوتکنولوژی
فیزیک و نجوم
کامپیوتر و اینترنت
کتابهای کودکان و داستان
کسب و کار و اقتصاد
کشاورزی و دامپزشکی و غذا
معماری
مهندسی و فناوری
هنر و تئاتر
محصولات
Developing High Frequency Trading Systems: Learn how to implement high-frequency trading from scratch with C++ or Java basics - Original PDF
نویسندگان: خلاصه: 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? The Developing High-Frequency Trading Systems book answers all these questions. This practical guide will help you navigate the fast-paced world of algorithmic trading and show you how to build a high-frequency trading system from complex technological components, supported by accurate data. Starting off with an introduction to high-frequency trading, exchanges, and the critical components of a trading system, the 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 get up to speed with logging and statistics. As you move beyond the traditional high-frequency trading 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 would be complete without diving into cryptocurrency? By the end of this book, you’ll be ready to take on the markets with high-frequency trading 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, 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 super-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 get to ultra-low latency systems. Prior experience working with C++ and Java will help you grasp the topics covered in this book.
Quantitative Finance With Python: A Practical Guide to Investment Management, Trading, and Financial Engineering - Original PDF
نویسندگان: خلاصه: In March 2018, the Federal Reserve (“Fed”) was in the midst of its first hiking cycle in over a decade, and the European Central Bank (“ECB”), still reeling from the Eurozone debt crisis, continued to charge investors for the privilege of borrowing money. US sovereign bonds (“Treasuries”) were yielding 3% over their German coun- terparts (“Bunds”), an all-time high, and unconventional monetary policy from the two central banks had pushed the cost of protection to an all-time low. Meanwhile, across the pond, a sophisticated Canadian pension flipped a rather esoteric coin: A so-called digital put-on Euro/Dollar, a currency pair that trades over a trillion dollars a day. On this crisp winter morning, the EURUSD exchange rate (“spot”) was 1.2500. If the flip resulted in heads and spot ended below 1.2500 in 2 years, the pension would receive $10 million. If the flip were tails and spot ended above 1.2500, the pension would have to pay $2.5 million. Naturally, the 4 to 1 asymmetry in the payout suggests that the odds of heads were only 25%. Interestingly, the flip yielded heads, and in 2 years, spot was below 1.2500
Trading Freedom: How Trade with China Defined Early America - Original PDF
نویسندگان: خلاصه: Trading Freedom explores the surprisingly rich early history of US-China trade and its unexpected impact on the developing republic. The economic and geographic development of the early United States is usually thought of in trans-Atlantic terms, defined by entanglements with Europe and Africa. In Trading Freedom, Dael A. Norwood recasts these common conceptions by looking to Asia, making clear that from its earliest days, the United States has been closely intertwined with China—monetarily, politically, and psychologically. Norwood details US trade with China from the late eighteenth through the late nineteenth centuries—a critical period in America’s self-definition as a capitalist nation—and shows how global commerce was central to the articulation of that national identity. Trading Freedom illuminates how debates over political economy and trade policy, the building of the transcontinental railroad, and the looming sectional struggle over slavery were all influenced by Sino-American relations. Deftly weaving together interdisciplinary threads from the worlds of commerce, foreign policy, and immigration, Trading Freedom thoroughly dismantles the idea that American engagement with China is anything new.
Linking of Emissions Trading Schemes: Conditions for Solid International Cooperation to Mitigate Emissions - Original PDF
نویسندگان: خلاصه: Anthropogenic Climate Change is one of the biggest challenges of the 21st century and receives more and more international awareness. The central instruments to counter climate change are emissions trading schemes (ETS) to cover GHG emissions. To increase efficiency and to ensure global reduction of emissions damaging to the climate, an international emissions trading scheme would be a rational choice. To establish such a global scheme, political decision makers could follow a bottom-up-approach by linking already existing ETS with each other. The book investigates such linkings of emissions trading schemes, which provide many benefits for the linking partners. As experience shows, although the number of schemes increased in the last decade, only a few linkings were established. Thus, the book answers the question, if and which conditions for states exist to link their emissions trading schemes. .
Maximum Trading Gains with Anchored VWAP: The Perfect Combination of Price, Time, and Volume - Original PDF
نویسندگان: خلاصه: My goal for this book is to give you a thorough understanding of the VWAP and the AVWAP so you can learn how to interpret market action more accurately. This knowledge will allow you to make better trades.
The Art of Quantitative Finance Vol.1: Trading, Derivatives and Basic Concepts - Original PDF
نویسندگان: خلاصه: This textbook offers an easily understandable introduction to the fundamental concepts of financial mathematics and financial engineering. The author presents and discusses the basic concepts of financial engineering and illustrates how to trade and to analyze financial products with numerous examples. Special attention is given to the valuation of basic financial derivatives. In the final section of the book, the author introduces the Wiener Stock Price Model and the basic principles of Black-Scholes theory. The book’s aim is to introduce readers to the basic techniques of modern financial mathematics in a way that is intuitive and easy to follow, and to provide financial mathematicians with insights into practical requirements when applying financial mathematical techniques in the real world.
From Data to Trade: A Machine Learning Approach to Quantitative Trading - Original PDF
نویسندگان: خلاصه: Machine Learning has revolutionized the field of quantitative trading, enabling traders to develop and implement sophisticated trading strategies that leverage large amounts of data and advanced modeling techniques. In this book, we provide a comprehensive overview of Machine Learning for quantitative trading, covering the fundamental concepts, techniques, and applications of Machine Learning in the financial industry. We start by introducing the key concepts and challenges of Machine Learning for quantitative trading, including feature engineering, model selection, and backtesting. We then delve into the various Machine Learning approaches that are commonly used in quantitative trading, including supervised learning, unsupervised learning, and reinforcement learning. We also discuss the challenges and best practices of implementing Machine Learning models in the live market, including the role of data quality, the importance of risk management, and the need for ongoing model monitoring and validation. Throughout the book, we provide numerous examples and case studies to illustrate the concepts and techniques discussed, and we also include practical tips and resources to help traders and practitioners get started with Machine Learning for quantitative trading. This book is an essential resource for anyone looking to gain a deeper understanding of how Machine Learning is transforming the world of finance. This groundbreaking work offers a unique perspective on the use of Machine Learning in the financial markets, as it was created by an advanced Artificial Intelligence (AI) using its own Machine Learning algorithms to analyze vast amounts of data and construct a comprehensive guide on the subject. Machine Learning is a type of artificial intelligence that enables computers to learn and adapt without being explicitly programmed. It involves the use of algorithms and statistical models to analyze data and make predictions or decisions based on the patterns and trends that it identifies. In Machine Learning, a computer is trained to recognize patterns in data by being presented with a large number of examples of the patterns that it should recognize. As the computer processes these examples, it "learns" the characteristics of the patterns and becomes better at recognizing them. Once the computer has learned to recognize the patterns, it can then be used to make predictions or decisions based on new data that it has not seen before. There are many different types of machine learning, including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Each type of Machine Learning involves a different approach to training the computer and making predictions or decisions based on the data. Machine Learning is used in a wide range of applications, including image and speech recognition, natural language processing (NLP), recommendation systems, and fraud detection. It has the potential to transform many different industries by automating tasks that would be difficult or impossible for humans to perform, and by enabling computers to make decisions and predictions based on data in a way that is more accurate and efficient than human judgment. In “From Data to Trade: A Quantitative Approach to Machine Learning,” readers will learn about the latest techniques and approaches for using Machine Learning in quantitative trading, as well as practical advice for implementing these methods in their own trading strategies. From basic concepts to advanced techniques, this book covers it all and is an invaluable resource for traders at any level of experience.
Trading For Dummies (For Dummies (Business & Personal Finance)) - Original PDF
نویسندگان: خلاصه: Become a savvy trader and make money in both up and down markets These days, the market is volatile, and you need to know how to ride the waves and navigate the changing tides. Trading For Dummies is for investors in search of a clear guide to trading stocks in any type of market. Inside, you'll get sample stock charts, position trading tips and techniques, and fresh ways to analyze trends and indicators. Learn how to make smart decisions by identifying the stocks, bonds, funds, and commodities that will net you the maximum gain. Assume more risk, reap more benefits, build a more aggressive portfolio, and enjoy the greater gains that come with short- and medium-term trading methods. Learn about due diligence, key indicator analysis, and reading market trends Trade successfully in downward market trends and during recessions Use the latest tools to create your own charts and make smart decisions Profit from ETFs, bonds, and commodities, along with good old-fashioned stocks
Trading in Local Energy Markets and Energy Communities: Concepts, Structures and Technologies - Original PDF
نویسندگان: خلاصه: This book presents trading in local energy markets and communities. It covers electrical, business, economics, telecommunication, information technology (IT), environment, building, industrial, and computer science and examines the intersections of these areas with these markets and communities. Additionally, it delivers an vision for local trading and communities in smart cities. Since it also lays out concepts, structures, and technologies in a variety of applications intertwined with future smart cities, readers running businesses of all types will find material of use in the book. Manufacturing firms, electric generation, transmission and distribution utilities, hardware and software computer companies, automation and control manufacturing firms, and other industries will be able to use this book to enhance their energy operations, improve their comfort and privacy, as well as to increase the benefit from the energy system. This book is also used as a textbook for graduate level courses.
Following the Trend: Diversified Managed Futures Trading (Wiley Trading) - Original PDF
نویسندگان: خلاصه: An up-to-date and practical roadmap for diversified futures trading using CTA fund strategies In the newly revised second edition of Following the Trend: Diversified Managed Futures Trading, renowned hedge fund founder and asset manager Andreas F. Clenow presents a systematic asset management methodology in a way that allows readers to emulate the success of CTA industry professionals. In the book, you’ll find performance and attribution details for every year between 2002 and 2021 and detailed explanations of how the markets, industry, and strategy have evolved between the publication of the first edition and today. The author also offers: Detailed discussions of whether CTA hedge funds continue to show high internal correlation and exhibit homogeneous behaviour The impact of low and negative interest rate environments, massive inflows into equity markets, and the rise of quant trading firms Explorations of the combination of different types of trading models to enhance performance, complete with rulesets and fulsome analyses A ground-breaking and thoroughly incisive examination of the commodity trading advisor industry, Following the Trend: Diversified Managed Futures Trading is an essential volume for sophisticated retail traders, day traders, private investors, investment managers, portfolio managers, and institutional investors.آیا کتاب مورد نظر هنوز بر روی سایت قرار نگرفته است؟ جای نگرانی نیست! کافی است بر روی گزینه سفارش کتاب کلیک کرده و درخواست خود را ثبت کنید. در کمتر از چند ساعت کتاب شما را آماده خواهیم کرد.