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
India and the Silk Roads: The History of a Trading World - Original PDF
نویسندگان: خلاصه: India and the Silk Roads is a global history of a continental interior, the first to comprehensively examine the textual and material traces of India’s caravan trade with central Asia. But what was the fate of these overland connections in the ages of sail and steam? This book brings the world of caravan trade to life—a world of merchants, mercenaries, pastoralists and pilgrims, but also of kings, bureaucrats and their subjects in the countryside and towns. Their livelihoods did not become obsolete with the advent of ‘modern’ technologies and the consequent emergence of new global networks. Terrestrial routes remained critically important, not only handling flows of goods and money, but also fostering networks of trade in credit, secret intelligence and fighting power. With the waning of the Mughal Empire during the eighteenth century, new Indian kingdoms and their rulers came to the fore, drawing their power and prosperity from resources brought by caravan trade. The encroachment of British and Russian imperialism into this commercial arena in the nineteenth century gave new significance to some people and flows, while steadily undermining others. By showing how no single ruler could control the nebulous yet durable networks of this trading world, which had its own internal dynamics even as it evolved in step with global transformations, this book forces us to rethink the history of globalisation and re-evaluate our fixation with empires and states as the building blocks of historical analysis.
Get started with MicroPython on Raspberry Pi Pico - Original PDF
نویسندگان: خلاصه: You might think of computers as things you stick on your desk and type on, and this is certainly one type of computer, but it’s not the only type. In this book, we’re looking at microcontrollers – small processing units with a bit of memory that are good at controlling other hardware. You probably have lots of microcontrollers in your house already. There’s a good chance your washing machine is controlled by a microcontroller; maybe your watch is; you might find one in your coffee machine or microwave. Of course, all these microcontrollers already have their programs and the manufacturers make it hard to change the software running on them. A Raspberry Pi Pico, on the other hand, can be easily reprogrammed over a USB connection. In this book, we’ll look at how to get started with this hardware, and how to work with other electronic components. By the end of the book, you’ll know how to create your own programmable electronic contraptions. What you do with them is up to you.
Equity Trading Round-Up: Proposals for Strengthening the Markets - Original PDF
نویسندگان: خلاصه: This book examines the complexity of trading and the creation of liquidity. Titled after the Baruch College Financial Markets Conference, Equity Market Round-Up: Proposals for Strengthening the Markets, this book explores how regulation has a clear impact on market structure and, therefore, how market structure impacts efficient trading and capital formation. The following questions are analyzed: What are the liquidity strategies for pricing and interacting? Is liquidity any more available today for an illiquid stock than it was on the floor of the exchange 20 years ago? How do we cope with the dynamics of a continuous market? How can market structure be improved? What are the effects of high frequency trading? The Zicklin School of Business Financial Markets Series presents the insights emerging from a sequence of conferences hosted by the Zicklin School at Baruch College for industry professionals, regulators, and scholars. The transcripts from the conferences are edited for clarity, perspective and context; material and comments from subsequent interviews with the panelists and speakers are included for a complete thematic presentation. Each book is focused on a well delineated topic, but all deliver broad insights into the quality and efficiency of the U.S. equity markets and the dynamic forces that are changing them.
Mechanical Properties of Polymers and Composites - Original PDF
نویسندگان: خلاصه: This text, now in its second edition, offers an up-to-date, expanded treatment of the behaviour of polymers with regard to material variables and test and use conditions. It highlights general principles, useful empirical rules and practical equations; detailing the specific behaviour of many common polymers, the text: places emphasis on time and frequency dependence over temperature dependence; uses contemporary molecular mechanisms to explain creep, stress relaxation, constant strain rate responses and crazing; provides explicit equations to predict responses; supplies a discussion of large deformation multiaxial responses; compares statistical and continuum theories on the same data set; and updates stress-strain behavior and particulate filled systems.
Polymer coatings : a guide to chemistry, characterization, and selected applications - Original PDF
نویسندگان: خلاصه: Materials always have been of crucial importance for society. The wide range of the presently existent materials provides a large variety of properties that have been put to full use for many applications. However, applications often require a combination of properties or, actually, different properties at different locations and times, dependent on the circumstances at hand. Hence, combinations of materials are important and, since properties at surfaces are usually required to be different from those in bulk, coatings have become an important branch of materials science.
Financial Trading and Investing - Original PDF
نویسندگان: خلاصه: Financial Trading and Investing, Third Edition provides a useful introduction to trading and market microstructure for advanced undergraduate as well as master’s students. Without demanding a background in econometrics, the book explores alternative markets and highlights recent regulatory developments, implementations, institutions and debates. The text offers explanations of controversial trading tactics (and blunders) such as high-frequency trading, dark liquidity pools, fat fingers, insider trading and flash orders, emphasizing links between the history of financial regulation and events in financial markets. It includes coverage of valuation and hedging techniques, particularly with respect to fixed income and derivative securities. The text adds a chapter on financial utilities and institutions that provide support services to traders and updates regulatory matters. Combining theory and application, this book provides a practical beginner's introduction to today's investment tools and markets with a special emphasis on trading.
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
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 stocksآیا 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.