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
Trading Companies and Travel Knowledge in the Early Modern World - Original PDF
نویسندگان: خلاصه: Trading Companies and Travel Knowledge in the Early Modern World explores the links between trade, empire, exploration, and global information transfer during the early modern period. By charting how the leaders, members, employees, and supporters of different trading companies gathered, processed, employed, protected, and divulged intelligence about foreign lands, peoples, and markets, this book throws new light on the internal uses of information by corporate actors and the ways they engaged with, relied on, and supplied various external publics. This ranged from using secret knowledge to beat competitors, to shaping debates about empire, and to forcing Europeans to reassess their understandings of specific environments due to contacts with non-European peoples. Reframing our understanding of trading companies through the lens of travel literature, this volume brings together thirteen experts in the field to facilitate a new understanding of how European corporations and empires were shaped by global webs of information exchange.
Algorithmic Short-Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product - Original PDF
نویسندگان: خلاصه: Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways markets Key Features • Understand techniques such as trend following, mean reversion, position sizing, and risk management in a short-selling context • Implement Python source code to explore and develop your own investment strategy • Test your trading strategies to limit risk and increase profits Book Description If you are in the long/short business, learning how to sell short is not a choice. Short selling is the key to raising assets when the markets are down. This book will help you demystify and rehabilitate the short-selling craft, providing Python source code to construct a robust long/short portfolio. It explains everything you have ever read about short selling from a long-only perspective. This book will take you on a journey from an idea (“buy bullish stocks, sell bearish ones”) to becoming part of the elite club of long/short hedge fund algorithmic traders. You’ll explore key concepts such as trading psychology, trading edge, regime definition, signal processing, position sizing, risk management, and asset allocation, one obstacle at a time. Along the way, you’ll will discover simple methods to consistently generate investment ideas, and consider variables that impact returns, volatility, and overall attractiveness of returns. By the end of this book, you’ll not only become familiar with some of the most sophisticated concepts in capital markets, but also have Python source code to construct a long/short product that investors are bound to find attractive. What you will learn • Develop the mindset required to win the infinite, complex, random game called the stock market • Demystify short selling in order to make consistent profits from bull, bear, and sideways markets • Generate ideas consistently on both sides of the portfolio • Implement Python source code to engineer a statistically robust trading edge • Perform superior risk management for high returns • Build a long/short product that investors will find appealing Who This Book Is For This is a book by a practitioner for practitioners. It is designed to benefit a wide range of people, including long/short market participants, quantitative participants, proprietary traders, commodity trading advisors, retail investors (pro retailers, students, and retail quants), and long-only investors. At least 2 years of active trading experience, intermediate-level experience of the Python programming language, and basic mathematical literacy (basic statistics and algebra) are expected
Bitcoin, Cryptocurrency, and Cryptoassets - Beginner's Guide to Trading and Investing in the Digital Money Revolution - Original PDF
نویسندگان: خلاصه: Cut through the hype and learn the fundamentals of crypto to make solid investment decisions, based on facts and not emotions. There have been many ups and downs since the writer began trading in the crypto universe in 2014, and countless lessons learned that will now benefit the reader. Education is rarely cheap, and what you don't know can cost you - in mistakes and missed opportunities. This book will help you avoid the pitfalls many beginners make so you won't miss a chance to profit from the exciting and incredible future of crypto assets. After reading this book, you can confidently enter the market with more precise knowledge and broadened understanding that will contribute to your future successful investment
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.
Global Investing: A Practical Guide to the World's Best Financial Opportunities - Original PDF
نویسندگان: خلاصه: Identify and invest in the world’s best performing companies In Global Investing: A Practical Guide to the World’s Best Financial Opportunities, veteran portfolio manager Darrin Erickson walks readers through how to best analyze, understand, and invest in leading global businesses. In the book, you’ll discover how you can improve the performance of your investment portfolio by taking advantage of opportunities that exist outside of the borders of the country you happen to inhabit. The author discusses how to identify and make investments around the world in effective and efficient ways, and how to successfully manage the risks associated with investing in a foreign country. You’ll also find: Relevant information about key stock markets around the world Insights into the underlying dynamics of the world’s major global industries Fulsome discussions on how to evaluate companies within each global industry Advice on how to construct a portfolio of global stocks that will help you to build wealth and protect it during times of stock market weakness Descriptions of free and paid tools that belong on the radar of every successful global investor An indispensable and accessible resource for investors with a desire to engage with the world’s financial markets, Global Investing is a must-read handbook for any investor seeking to expand their horizons beyond their own country’s borders.
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.
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.
Maximum Trading Gains with Anchored VWAP: The Perfect Combination of Price, Time, and Volume - Original PDF
نویسندگان: خلاصه: My goal for this book is to give you a thorough understanding of the VWAP and the AVWAP so you can learn how to interpret market action more accurately. This knowledge will allow you to make better trades.
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 in Local Energy Markets and Energy Communities: Concepts, Structures and Technologies - Original PDF
نویسندگان: خلاصه: This book presents trading in local energy markets and communities. It covers electrical, business, economics, telecommunication, information technology (IT), environment, building, industrial, and computer science and examines the intersections of these areas with these markets and communities. Additionally, it delivers an vision for local trading and communities in smart cities. Since it also lays out concepts, structures, and technologies in a variety of applications intertwined with future smart cities, readers running businesses of all types will find material of use in the book. Manufacturing firms, electric generation, transmission and distribution utilities, hardware and software computer companies, automation and control manufacturing firms, and other industries will be able to use this book to enhance their energy operations, improve their comfort and privacy, as well as to increase the benefit from the energy system. This book is also used as a textbook for graduate level courses.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.