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
Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis - Original PDF
نویسندگان: خلاصه: Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies Key Features • Understand the power of algorithmic trading in financial markets with real-world examples • Get up and running with the algorithms used to carry out algorithmic trading • Learn to build your own algorithmic trading robots which require no human intervention Book Description It's now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You'll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You'll explore the key components of an algorithmic trading business and aspects you'll need to take into account before starting an automated trading project. Next, you'll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you'll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you'll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you'll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets. What you will learn • Understand the components of modern algorithmic trading systems and strategies • Apply machine learning in algorithmic trading signals and strategies using Python • Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more • Quantify and build a risk management system for Python trading strategies • Build a backtester to run simulated trading strategies for improving the performance of your trading bot • Deploy and incorporate trading strategies in the live market to maintain and improve profitability Who this book is for This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful.
Trading and pricing financial derivatives : a guide to futures, options, and swaps - Original PDF
نویسندگان: خلاصه: Trading and Pricing Financial Derivatives is an introduction to the world of futures, options, and swaps. Self-study investors who are interested in deepening their knowledge of derivatives of all kinds will find this book to be an invaluable resource. The book is also useful in a very applied course on derivative trading. The authors delve into the history of options pricing; simple strategies of options trading; Read more...
An Introduction to C & GUI Programming - Original PDF
نویسندگان: خلاصه: The popular C programming language is used for a huge range of applications, from the tiny microcontrollers used in toasters and watches up to complete operating systems. The first half of this book is an introduction to C, and covers the basics of writing simple command-line programs. The second half of the book shows how to use the GTK user interface toolkit with C to create feature-rich GUI applications which can be run on the desktop. No previous experience of C or GTK is required – even if you are an absolute beginner, this book will teach you all you need to know to ... ■ Create simple command-line C programs ■ Control flow with conditions and loops ■ Handle variables, strings, and files ■ Design graphical user interface applications in C ■ Handle user input with buttons and menus ■ Use advanced UI features such as data stores and dialogs
Data Governance: Governing data for sustainable business - Original PDF
نویسندگان: خلاصه: There are multiple definitions available for the following highlighted terms, but for the purposes of this book, terms will be used as explained in the following paragraphs. Data governance or the governance of data are terms that we’ll use in the book for the governance activities carried out by a board of directors or trustees, a cabinet committee, or any other top-level group charged with setting policy rules for how their organisations use data for decision making, reference and analysis. We will refer to this group of people as a governing body. This governing body is responsible for the development of a data strategy to determine how data is used within their organisation to deliver the overarching organisational strategy. Data governance activities can include the actions taken by managers to observe and respect the policy rules set by the governing body, but it should be noted that the data governance duties of the governing body cannot be delegated without a loss of accountability
An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain - Original PDF
نویسندگان: خلاصه: The purpose of An Introduction to Algorithmic Finance is to provide a broad-based accessible introduction to three of the presently most important areas of computational finance, namely, option pricing, algorithmic trading and blockchain. This will provide a basic understanding required for a career in the finance industry and for doing more specialized courses in finance.An Introduction to Algorithmic Finance breaks down into three parts. The first part provides the necessary theoretical background to Derivatives, Options and Stochastic Dominance. The second part covers various algorithmic issues of finance, discussing specific algorithms, their applications and consequences. The third part of the book is devoted to blockchain and cryptocurrency which complements the first two parts.An Introduction to Algorithmic Finance is an interesting, important read for anyone interested in or invested in the finance industry & it highlights and explains current phenomena in algorithmic finance in an articulate manner.
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
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.
Flash Crash: A Trading Savant, a Global Manhunt, and the Most Mysterious Market Crash in History - Original PDF
نویسندگان: خلاصه: On May 6, 2010, financial markets around the world tumbled simultaneously and without warning. In the span of five minutes, a trillion dollars of valuation was lost. The Flash Crash, as it became known, represented the fastest drop in market history. When share values rebounded less than half an hour later, experts around the globe were left perplexed. What had they just witnessed? Navinder Singh Sarao hardly seemed like a man who would shake the world's financial markets to their core. Raised in a working-class neighborhood in West London, Nav was a preternaturally gifted trader who played the markets like a computer game. By the age of thirty, he had left behind London's "trading arcades," working instead out of his childhood home. For years the money poured in. But when lightning-fast electronic traders infiltrated markets and started eating into his profits, Nav built a system of his own to fight back. It worked-until 2015, when the FBI arrived at his door. Depending on whom you ask, Sarao was a scourge, a symbol of a financial system run horribly amok, or a folk hero-an outsider who took on the tyranny of Wall Street and the high-frequency traders. A real-life financial thriller, Flash Crash uncovers the remarkable, behind-the-scenes narrative of a mystifying market crash, a globe-spanning investigation into international fraud, and the man at the center of them both.
MATLAB Trading Toolbox™ User's Guide - Original PDF
نویسندگان: خلاصه: rading Toolbox Product Description Access prices, analyze transaction costs, and send orders to trading systems Trading Toolbox provides functions for analyzing transaction costs, accessing trade and quote pricing data, defining order types, and sending orders to financial trading markets. The toolbox lets you integrate streaming and event-based data into MATLAB®, enabling you to develop financial trading strategies and algorithms that analyze and react to the market in real time. You can build algorithmic or automated trading strategies that work across multiple asset classes, instrument types, and trading markets while integrating with industry-standard or proprietary trade execution platforms. With Trading Toolbox you can analyze and estimate transaction costs before placing an order, as well as attribute costs post-trade. You can analyze transaction costs associated with market impact, timing, liquidity, and price appreciation, and use cost curves to minimize transaction costs for single assets or for a portfolio of assets. Trading Toolbox lets you access real-time streams of tradable instrument data, including quotes, volumes, trades, market depth, and instrument metadata. You can define order types and specify order routing and filling procedures.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.