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
Practical Data Migration - Original PDF
نویسندگان: خلاصه: This book is for executives, practitioners, and project managers who are tasked with the movement of data from old systems to a new repository. It is designed as a practical guide and uses a series of steps developed in real-life situations that will get you from an empty new system to one that is populated, working and backed by the user population. This new edition is updated to take account of changes in technology and the maturing of the market for data migration services, with two brand new chapters. It guarantees to get the dirty old data out of your legacy systems and transform it into clean new data for your new system.
Python for Algorithmic Trading: From Idea to Cloud Deployment - Original PDF
نویسندگان: خلاصه: Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. • Set up a proper Python environment for algorithmic trading • Learn how to retrieve financial data from public and proprietary data sources • Explore vectorization for financial analytics with NumPy and pandas • Master vectorized backtesting of different algorithmic trading strategies • Generate market predictions by using machine learning and deep learning • Tackle real-time processing of streaming data with socket programming tools • Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms
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.
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques - Original PDF
نویسندگان: خلاصه: Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides readers with a suite of transaction cost analysis functions packaged as a TCA library. These programming tools are accessible via numerous software applications and programming languages.
Derivatives: Theory and Practice of Trading, Valuation, and Risk Management - Original PDF
نویسندگان: خلاصه: This book helps students, researchers and quantitative finance practitioners to understand both basic and advanced topics in the valuation and modeling of financial and commodity derivatives, their institutional framework and risk management. It provides an overview of the new regulatory requirements such as Basel III, the Fundamental Review of the Trading Book (FRTB), Interest Rate Risk of the Banking Book (IRRBB), or the Internal Capital Assessment Process (ICAAP). The reader will also find a detailed treatment of counterparty credit risk, stochastic volatility estimation methods such as MCMC and Particle Filters, and the concepts of model-free volatility, VIX index definition and the related volatility trading. The book can also be used as a teaching material for university derivatives and financial engineering courses.
The Official Raspberry Pi Beginner’s Guide: How to use your new computer - Original PDF
نویسندگان: خلاصه: Welcome to the Official Raspberry Pi Beginner’s Guide We think you’re going to love Raspberry Pi. Whichever model you have – a standard Raspberry Pi board, or the new Raspberry Pi 400 with integrated keyboard – this affordable computer can be used to learn coding, build robots, and create all kinds of weird and wonderful projects. Raspberry Pi is capable of doing all the things you’d expect from a computer – everything from browsing the internet and playing games, to watching movies and listening to music. But Raspberry Pi is much more than a modern computer. With a Raspberry Pi you can get into the heart of a computer. You get to set up your own operating system, and can connect wires and circuits directly to its GPIO pins. It was designed to teach young people how to program in languages like Scratch and Python, and all the major programming languages are included with the official operating system. The world needs programmers more than ever, and Raspberry Pi has ignited a love of computer science and technology in a new generation. People of all ages use Raspberry Pi to create exciting projects: everything from retro games consoles to internetconnected weather stations. So if you want to make games, build robots, or hack a variety of amazing projects, then this book is here to help you get started.
Trading Fixed Income and FX in Emerging Markets: A Practitioner’s Guide - Original PDF
نویسندگان: خلاصه: Emerging fixed income markets are both large and fast growing. China, currently the second largest economy in the world, is predicted to overtake the United States by 2030. Chinese fixed income markets are worth more than $11 trillion USD and are being added to global fixed income indices starting in 2019. Access for foreigners to the Indian fixed income market, valued at almost 1trn USD, is also becoming easier – a trend repeated in emerging markets around the world. The move to include large Emerging Market (EM) fixed income markets into non-EM benchmarks requires non-EM specialists to understand EM fixed income. Trading Fixed Income in Emerging Markets examines the principle drivers for EM fixed income investing. This timely guide suggests a more systematic approach to EM fixed income trading with a focus on practical trading rules on how to generate alpha, assisting EM practitioners to limit market-share losses to passive investment vehicles. The definitive text on trading EM fixed income, this book is heavily data-driven – every trading rule is thoroughly back-tested over the last 10+ years. Case studies help readers identify and benefit from market regularities, while discussions of the business cycle and typical EM events inform and optimise trading strategies. Topics include portfolio construction, how to apply ESG principles to EM and the future of EM investing in the realm of Big Data and machine learning. Written by practitioners for practitioners, this book: Provides effective, immediately-accessible tools Covers all three fixed income asset classes: EMFX, EM local rates and EM credit Thoroughly analyses the impact of the global macro cycle on EM investing Examines the influence of the financial rise of China and its fixed income markets Includes case studies of trades that illustrate how markets typically behave in certain situations The first book of its kind, Trading Fixed Income in Emerging Markets: A Practitioner’s Guide is an indispensable resource for EM fund managers, analysts and strategists, sell-side professionals in EM and non-EM specialists considering activity in emerging markets.
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
A Machine Learning based Pairs Trading Investment Strategy - Original PDF
نویسندگان: خلاصه: This book investigates the application of promising machine learning techniques to address two problems: (i) how to find profitable pairs while constraining the search space and (ii) how to avoid long decline periods due to prolonged divergent pairs. It also proposes the integration of an unsupervised learning algorithm, OPTICS, to handle problem (i), and demonstrates that the suggested technique can outperform the common pairs search methods, achieving an average portfolio Sharpe ratio of 3.79, in comparison to 3.58 and 2.59 obtained using standard approaches. For problem (ii), the authors introduce a forecasting-based trading model capable of reducing the periods of portfolio decline by 75%. However, this comes at the expense of decreasing overall profitability. The authors also test the proposed strategy using an ARMA model, an LSTM and an LSTM encoder-decoder.
Positional Option Trading: An Advanced Guide - Original PDF
نویسندگان: خلاصه: You know nothing, Jon Snow. —Ygritte in A Storm of Swords by George R. R. Martin. He is not the only one. We are not in a time where reason is valued. In economics, the idea that marginal tax cuts pay for themselves is still advanced, even though all evidence says they don't. Forty percent of Americans do not believe in evolution. Forty-five percent believe in ghosts. These beliefs are not based on any evidence. They are manifestations of another philosophy, whether it is economic, religious, or sociological. Usually these opinions reveal more about what people want to be true rather than any facts that they know. And many people know few facts anyway. Evidence is seen as irrelevant and arguments are won by those who shout loudest and have the best media skillsآیا 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.