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
Global Algorithmic Capital Markets: High Frequency Trading, Dark Pools, and Regulatory Challenges - Original PDF
نویسندگان: خلاصه: Global capital markets have undergone fundamental transformations in recent years and, as a result, have become extraordinarily complex and opaque. Trading space is no longer measured in minutes or seconds but in time units beyond human perception: milliseconds, microseconds, and even nanoseconds. Technological advances have thus scaled up imperceptible and previously irrelevant time differences into operationally manageable and enormously profitable business opportunities for those with the proper high-tech trading tools. These tools include the fastest private communication and trading lines, the most powerful computers and sophisticated algorithms capable of speedily analysing incoming news and trading data and determining optimal trading strategies in microseconds, as well as the possession of gigantic collections of historic and real-time market data. Fragmented capital markets are also becoming a rapidly growing reality in Europe and Asia, and are an established feature of U.S. trading. This raises urgent market governance issues that have largely been overlooked. Global Algorithmic Capital Markets seeks to understand how recent market transformations are affecting core public policy objectives such as investor protection and reduction of systemic risk, as well as fairness, efficiency, and transparency. The operation and health of capital markets affect all of us and have profound implications for equality and justice in society. This unique set of chapters by leading scholars, industry insiders, and regulators discusses ways to strengthen market governance for the benefit of society at whole.
Hands-On Machine Learning for Algorithmic Trading - Original PDF
نویسندگان: خلاصه: Historically, algorithmic trading used to be more narrowly defined as the automation of trade execution to minimize costs as offered by the sell side, but we will take a more comprehensive perspective since the use of algorithms, and ML, in particular, has come to impact a broader range of activities from idea generation and alpha factor design to asset allocation, position sizing, and the testing and evaluation of strategies. This chapter looks at the bigger picture of how the use of ML has emerged as a critical source of competitive advantage in the investment industry and where it fits into the investment process to enable algorithmic trading strategies. We will be covering the following topics in the chapter: How this book is organized and who should read it How ML has come to play a strategic role in algorithmic trading How to design and execute a trading strategy How ML adds value to an algorithmic trading strategy
Cryptocurrency Master: Everything You Need To Know About Cryptocurrency and Bitcoin Trading, Mining, Investing, Ethereum, ICOs, and the Blockchain - Original PDF
نویسندگان: خلاصه: Cryptocurrency Master Bundle: 5 Books in ONE! Everything You Need to Know about Cryptocurrency and Bitcoin Trading, Mining, Investing, Ethereum, ICOs, and the Blockchain
Market Manipulation and Insider Trading: Regulatory Challenges in the United States of America, the European Union and the United Kingdom - Original PDF
نویسندگان: خلاصه: The European Union regime for fighting market manipulation and insider trading - commonly referred to as market abuse - was significantly reshuffled in the wake of the financial crisis of 2007/2008 and new legal instruments to fight market abuse were eventually adopted in 2014. In this monograph the authors identify the association between the financial crisis and market abuse, critically consider the legislative, policy and enforcement responses in the European Union, and contrast them with the approaches adopted by the United States of America and the United Kingdom respectively. The aftermath of the financial crisis, ongoing security concerns and increased legislation and policy responses to the fight against irregularities and market failures demonstrate that we need to understand, in context, the regulatory responses taken in this area. Specifically, the book investigates how the regulatory responses have changed over time since the start of the financial crisis. Market Manipulation and Insider Trading places the fight against market abuse in the broader framework of the fight against white collar crime and also considers some associated questions in order to better understand the contemporary market abuse regime.
Crusading And Trading Between West And East: Studies In Honour Of David Jacoby - Original PDF
نویسندگان: خلاصه: For almost sixty years Professor David Jacoby devoted his research to the economic, social and cultural history of the Eastern Mediterranean and this new collection reflects his impact on the study of the interactions between the Italian city-states, Byzantium, the Latin East and the realm of Islam. Contributors to this volume are prominent scholars from across Medieval Studies and leading historians of the younger generation. "Crusading and Trading should profit scholars of Mediterranean history broadly interpreted. Some of its articles, such as those on paper, treaties, and Marco Polo, could also benefit advanced undergraduates." - Jessalynn Bird, Sehepunkte
Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis - Original PDF
نویسندگان: خلاصه: 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 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 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 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.
Corporate and Investment Banking: Preparing for a Career in Sales, Trading, and Research in Global Markets - Original PDF
نویسندگان: خلاصه: This book provides unique information to prepare graduates and newly hired corporate and investment banking professionals for a career in the global markets environment of large universal and international investment banks. It shows the interrelationship between the three specific business functions of sales, trading, and research, as well as the interaction with corporate and institutional clients. The book fills a gap in the available literature by linking financial market theory to the practical aspects of day-to-day operations on a trading floor and offers a taxonomy of the current banking business, providing an in-depth analysis of the main market participants in the global markets ecosystem. Engaging the reader with case studies, anecdotes, and industry color, the book addresses the risks and opportunities of the global markets business in today’s global financial markets both from a theoretical and from a practitioner’s perspective and focuses on the most important fixed-income financial instruments from a pricing, risk-management, and client-marketing perspective.
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python - Original PDF
نویسندگان: خلاصه: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: • Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management • Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies • Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction • Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management • Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management • NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Applications of computational intelligence in data-driven trading - Original PDF
نویسندگان: خلاصه: "The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in Computational Finance. Readers will learn modern methods used by financial engineers and quantitative analysts to access, Read more...
Emerging Powers and the World Trading System: The Past and Future of International Economic Law - Original PDF
نویسندگان: خلاصه: Victorious after World War II and the Cold War, the United States and its allies largely wrote the rules for international trade and investment. Yet, by 2020, it was the United States that became the great disrupter – disenchanted with the rules' constraints. Paradoxically, China, India, Brazil, and other emerging economies became stakeholders in and, at times, defenders of economic globalization and the rules regulating it. Emerging Powers and the World Trading System explains how this came to be and addresses the micropolitics of trade law – what has been developing under the surface of the business of trade through the practice of law, which has broad macro implications. This book provides a necessary complement to political and economic accounts for understanding why, at a time of hegemonic transition where economic security and geopolitics assume greater roles, the United States challenged, and emerging powers became defenders, of the legal order that the United States created.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.