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
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.
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
The index trading course - Original PDF
نویسندگان: خلاصه: "George and Tom apply their considerable options trading and teaching expertise to the arena of broad-based and sector indices. Index options traders will find the techniques, systems, and strategies invaluable-and so will those who aren't yet index traders, but want to learn to be." —Larry McMillan, President, McMillan Analysis Corporation author, Profit with Options
The handbook of pairs trading: strategies using equities, options, and futures - Original PDF
نویسندگان: خلاصه: Learn both the theory and practice of pairs trading, why it is consistently profitable, and how you can apply the strategies in your own trading with this valuable guide. Author Douglas Ehrman covers pairs trading involving stocks, options on stocks, and futures contracts, and explains how this type of trading allows you to profit from the changing price relationship of securities. In addition to a comprehensive discussion of the theories involved, he also includes practical examples that will to help you put what you've learned into practice. Douglas S. Ehrman is a hedge fund manager and a leading authority on pairs trading. He is one of the founders and the Chief Executive Officer of AlphAmerica Asset Management LLC in Chicago. He also served as the chief executive officer of AlphAmerica Financial, Inc., the company that operated PairsTrading.com prior to its merger with PairTrader.com.
Deliberate Practice in Systemic Family Therapy - Original PDF
نویسندگان: خلاصه: Deliberate practice exercises allow students and trainees to rehearse systemic family therapy (SFT) skills to develop basic competence and hone their own personal therapeutic style. In these exercises, two or more trainees role-play couples or family therapy sessions with one trainee acting as the therapist and the others acting as clients, rotating through these roles under a supervisor’s guidance. The trainee playing the therapist improvises appropriate and authentic responses to client statements organized into three difficulty levels—beginner, intermediate, and advanced—that reflect common problems and concerns encountered by SFT practitioners. The first 12 exercises each focus on a single skill, such as building a therapeutic alliance, deescalating conflicts, establishing rules and boundaries, and addressing diversity issues. These are followed by two comprehensive exercises—an annotated transcript and free-form mock therapy sessions—in which trainees integrate these essential skills into a single SFT session. Step-by-step instructions guide participants through the exercises, identify criteria for mastering each skill, and explain how to monitor and adjust difficulty. Guidelines to help trainers and trainees get the most out of training are also provided.
Mastering competencies in family therapy: a practical approach to theories and clinical case documentation - Original PDF
نویسندگان: خلاصه: Marriage and family therapy competencies -- Competency in family therapy -- Case conceptualization -- Clinical assessment -- Treatment planning -- Evaluating progress in therapy -- Document it: progress notes -- Marriage and family therapy theories -- Understanding the role of theory in therapy -- Philosophical foundations of family therapy theories -- Systemic and strategic therapies -- Structural therapy -- Experiential family therapies -- Intergenerational and psychoanalytical family therapies -- Behavioral and cognitive-behavioral couple and family therapies -- Solution-based therapies -- Collaborative and narrative therapies -- Group therapy with couples and families -- Closing thoughts: where to go from here? -- CACREP competency-based standards.
Socioculturally Attuned Family Therapy: Guidelines for Equitable Theory and Practice - Original PDF
نویسندگان: خلاصه: It would be difficult to find a family therapist today who does not believe culture and societal context are important. Sometimes the effects are obvious; a woman seeks therapy for depres- sion and we quickly realize she is embedded in a relationship that strips her of dignity and voice. This woman’s plight can be linked to a broader society in which women are systemati- cally disempowered. A gay couple living in a conservative rural community turn the effects of their oppression inward, heightening conflict between them. White members of a biracial family fail to understand the full impact of racism on those they love, creating tension between them. Other times the effects are less obvious; a white, upper-middle-class, heterosexual cou- ple argue over one of their spending habits, or a teenage boy in a seemingly stable middle-class family acts out in the community
Advanced Methods in Family Therapy Research: a focus on validity and change - Original PDF
نویسندگان: خلاصه: I (L.J.) remember when I started graduate school as a new student in the field of marriage and family therapy (MFT). One of the required classes in my first semester was statistics. I was an engineering major and I enjoy math so I thought statistics would be fun. The teacher was great, and I learned a lot. The one downside to the experience was that the course was taught in the agriculture department. The class focused mostly on analysis of variance (ANOVA), and the instructor would draw a 2 × 2 or larger plot on the chalk- board and say something like, “You can randomly assign conditions to each square in your field, and then you plant your seeds in the randomly assigned quadrant, and you can ‘see’ what happens and calculate an ANOVA.” After a few class periods of plot drawing and hearing examples from agriculture, I felt like I was starting to learn what an ANOVA was and how to calculate it. But I was missing the application to people. So, being the good graduate student that I was, I raised my hand and asked, “How do you do this with people?” The instructor replied, “You don’t.” I was dumbfounded. Why was I taking this class if I could not apply what I was learning to people? Why was I taking this class from someone who was a fine teacher but did not know how to apply this information to people? As I progressed through graduate school and took other statistics and research methods courses, I was able to fill in the gaps and learn how to apply statistics to people. I also learned how much more compli- cated research was when trying to apply what I had learned about researching individual people to researching more complex configurations that included couples and families.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.