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 Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies - Original PDF
نویسندگان: خلاصه: Discover how to build and backtest algorithmic trading strategies with Zipline Key Features Get to grips with market data and stock analysis and visualize data to gain quality insights Find out how to systematically approach quantitative research and strategy generation/backtesting in algorithmic trading Learn how to navigate the different features in Python's data analysis libraries Book Description Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses. The book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. You'll also focus on time series forecasting, covering pmdarima and Facebook Prophet. By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization. What you will learn Discover how quantitative analysis works by covering financial statistics and ARIMA Use core Python libraries to perform quantitative research and strategy development using real datasets Understand how to access financial and economic data in Python Implement effective data visualization with Matplotlib Apply scientific computing and data visualization with popular Python libraries Build and deploy backtesting algorithmic trading strategies Who this book is for This book is for data analysts and financial traders who want to explore how to design algorithmic trading strategies using Python's core libraries. If you are looking for a practical guide to backtesting algorithmic trading strategies and building your own strategies, then this book is for you. Beginner-level working knowledge of Python programming and statistics will be helpful. Table of Contents Introduction to algorithmic trading Exploratory Data Analysis in Python High-speed Scientific Computing using NumPy Data Manipulation and Analysis with Pandas Data Visualization using Matplotlib Statistical Estimation, Inference, and Prediction Financial Market Data Access in Python Introduction to Zipline and PyFolio Fundamental algorithmic trading strategies
Options for Operationalising Transparency in Commodity Trading Transactions - Original PDF
نویسندگان: خلاصه: 7 OPTIONS FOR OPERATIONALISING TRANSPARENCY IN COMMODITY TRADING TRANSACTIONS © OECD 2021 Executive Summary This report provides an overview of possible options for operationalising enhanced transparency and reporting requirements by companies that purchase oil, gas and minerals (hereafter: buying companies) from state-owned enterprises (SOEs) and other public entities that can be undertaken by home governments, host governments and their SOEs, trading hubs, free zones, commodity exchanges and industry associations. In particular, as a significant share of global commodity trading transactions take place in a small number of global trading hubs, those hubs should take active steps to avoid the reputational risk of harbouring corrupt transactions and suspicious deals, including by introducing requirements for companies active in commodity trading to disclose their payments to governments. The options for operationalising enhanced transparency set out in this report can act to reinforce each other and should not be seen as mutually exclusive
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.
Genetic Algorithms and Applications for Stock Trading Optimization - Original PDF
نویسندگان: خلاصه: Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.
Get started with MicroPython on Raspberry Pi Pico - Original PDF
نویسندگان: خلاصه: You might think of computers as things you stick on your desk and type on, and this is certainly one type of computer, but it’s not the only type. In this book, we’re looking at microcontrollers – small processing units with a bit of memory that are good at controlling other hardware. You probably have lots of microcontrollers in your house already. There’s a good chance your washing machine is controlled by a microcontroller; maybe your watch is; you might find one in your coffee machine or microwave. Of course, all these microcontrollers already have their programs and the manufacturers make it hard to change the software running on them. A Raspberry Pi Pico, on the other hand, can be easily reprogrammed over a USB connection. In this book, we’ll look at how to get started with this hardware, and how to work with other electronic components. By the end of the book, you’ll know how to create your own programmable electronic contraptions. What you do with them is up to you.
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.
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.
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 managementآیا 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.