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
Detecting regime change in computational finance: data science, machine learning and algorithmic trading - Original PDF
نویسندگان: خلاصه: "Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and, Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarizing price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzag"). By sampling data in a different way, the book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics: Data science: as an alternative to time series, price movements in a market can be summarised as directional changes Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed Algorithmic trading: regime tracking information can help us to design trading algorithms It will be of great interest to researchers in computational finance, machine learning, and data science"--;Background and literature survey -- Regime change detection using directional change indicators -- Classification of normal and abnormal regimes in financial markets -- Tracking regime changes using directional change indicators -- Algorithmic trading based on regime change tracking.
Trading Power: West Germany's Rise to Global Influence, 1963–1975 - Original PDF
نویسندگان: خلاصه: Trading Power traces the successes and failures of a generation of German political leaders as the Bonn Republic emerged as a substantial force in European, Atlantic, and world affairs. Over the course of the 1960s and 1970s, West Germans relinquished many trappings of hard power, most notably nuclear weapons, and learned to leverage their economic power instead. Obsessed with stability and growth, Bonn governments battled inflation in ways that enhanced the international position of the Deutsche Mark while upending the international monetary system. Germany's remarkable export achievements exerted a strong hold on the Soviet bloc, forming the basis for a new Ostpolitik under Willy Brandt. Through much trial and error, the Federal Republic learned how to find a balance among key Western allies, and in the mid-1970s Helmut Schmidt ensured Germany's centrality to institutions such as the European Council and the G-7 – the newly emergent leadership structures of the West.
Hands-On Financial Modeling with Excel for Microsoft 365: Build your own practical financial models for effective forecasting, valuation, trading, and growth analysis, 2nd Edition - Original PDF
نویسندگان: خلاصه: Explore a variety of Excel features, functions, and productivity tips for various aspects of financial modeling Key Features Explore Excel's financial functions and pivot tables with this updated second edition Build an integrated financial model with Excel for Microsoft 365 from scratch Perform financial analysis with the help of real-world use cases Book Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Excel for Microsoft 365 explores financial modeling terminologies with the help of Excel. Starting with the key concepts of Excel, such as formulas and functions, this updated second edition will help you to learn all about referencing frameworks and other advanced components for building financial models. As you proceed, you'll explore the advantages of Power Query, learn how to prepare a 3-statement model, inspect your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. Next, you'll learn how to deal with iterations and provide graphical representations of ratios, before covering best practices for effective model testing. Later, you'll discover how to build a model to extract a statement of comprehensive income and financial position, and understand capital budgeting with the help of end-to-end case studies. By the end of this financial modeling Excel book, you'll have examined data from various use cases and have developed the skills you need to build financial models to extract the information required to make informed business decisions. What you will learn Identify the growth drivers derived from processing historical data in Excel Use discounted cash flow (DCF) for efficient investment analysis Prepare detailed asset and debt schedule models in Excel Calculate profitability ratios using various profit parameters Obtain and transform data using Power Query Dive into capital budgeting techniques Apply a Monte Carlo simulation to derive key assumptions for your financial model Build a financial model by projecting balance sheets and profit and loss Who this book is for This book is for data professionals, analysts, traders, business owners, and students who want to develop and implement in-demand financial modeling skills in their finance, analysis, trading, and valuation work. Even if you don't have any experience in data and statistics, this book will help you get started with building financial models. Working knowledge of Excel is a prerequisite.
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.
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
The index trading course workbook: step-by-step exercises and tests to help you master the index trading course - Original PDF
نویسندگان: خلاصه: An indispensable, hands-on companion to The Index Trading Course In The Index Trading Course , financial experts George Fontanills and Tom Gentile provide an in-depth look at the tools and techniques used to trade in this profitable market. Now, in The Index Trading Course Workbook , Fontanills and Gentile offer a wealth of practical exercises that will help further your understanding of index trading, as well as test and apply what you've learned before you take one step into the real markets-where time and money are luxuries you can't afford to lose. The media assignments found in each chapter are especially useful. They'll help you put the material you've read into action by prompting you to access some of the extensive media tools currently available to all traders-including financial papers, magazines, the Internet, and television. This hands-on companion to The Index Trading Course also includes a complete answer key for every multiple-choice question and covers a wide range of issues related to this discipline such as: Core stock market indexes along with the sector offerings from a variety of financial entities Actively traded index products, including exchange traded funds (ETFs), index options, and ETF options Options strategies used for different trends and volatility situations Indicators and systems Trade adjustments The art of risk management
Integrative Systemic Therapy in Practice: A Clinician's Handbook - Original PDF
نویسندگان: خلاصه: This essential handbook provides clinicians with the tools to introduce Integrative Systemic Therapy (IST) into their practice working with individuals, couples, and families. Describing the "how to" and "how to decide what to do" aspects of IST, this book outlines a practical, problem-solving approach that considers client strengths and and cultural contexts in the process of integrating interventions from various therapy models and empirically supported treatments. Chapters demonstrate how problem-solving tasks can be accomplished using the IST blueprint for therapy and include scenarios that will challenge the reader to think through the specific steps for IST, encouraging them to consider the therapeutic alliance and the use of self in therapy. For supervisors, trainers, and clinicians familiar with IST, this book will enrich and deepen their understanding of it. The book is also relevant for clinicians and supervisors of all types of therapy who seek to become more integrative and systemic in their work.
Internal Family Systems Therapy: Supervision and Consultation - Original PDF
نویسندگان: خلاصه: Internal Family Systems Therapy: Supervision and Consultation showcases the skills of Richard C. Schwartz and other leading IFS consultants and supervisors. Using unique case material, models, and diagrams, each contributor illustrates IFS techniques that assist clinicians in unblending and accessing Self-energy and Self-leadership. The book features examples of clinical work with issues such as bias, faith, sexuality, and sexual hurts. Individual chapters focus on therapist groups, such as Black Therapists Rock, and on work with specific populations, including children and their caregivers, veterans, eating disordered clients, therapists with serious illnesses, and couples. This thought-provoking book offers an opportunity for readers to reflect on their own supervision and consultation (both the giving and receiving of it). It explores what is possible and preferable at different stages of development when using the IFS model.
The Craft of Family Therapy: Challenging Certainties - Original PDF
نویسندگان: خلاصه: Family therapy trainees are inundated with a multitude of family therapy theories. They also have difficulty shifting from an individualistic view to one of seeing interactions and systems. How do therapists hone their own methods with all of these choices? And how do they learn how to best treat families with all of the focus being taken away from their clients and redirected instead on processes? Perhaps most importantly, how can they learn through an inductive process of exploring what has occurred during the therapeutic session? Veteran therapist and founder of Structural Family Therapy, Salvador Minuchin, goes back to basics with his two co-authors Michael D. Reiter and Charmaine Borda in The Craft of Family Therapy. In this book they teach readers basic communication and family therapy skills using some of Dr. Minuchin’s most interesting and illuminating cases. Not only do readers re-learn basic techniques, such as reframing and joining, but they are treated to an in-depth commentary on each case, with Dr. Minuchin emphasizing the techniques he uses that allow him to refocus attention from the Identified Patient to the family as a whole. The book ends with three supervision transcripts from Dr. Minuchin’s students, whose commentary illuminates the struggles, fears, and insecurities that new family therapists face and how they can overcome them. Each of these chapters ends with a consultation interview that Dr. Minuchin conducted with each supervisee’s case family.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.