Practical C# and WPF For Financial Markets

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Release : 2016-12-05
Genre : Business & Economics
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Book Rating : 550/5 ( reviews)

Practical C# and WPF For Financial Markets - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical C# and WPF For Financial Markets write by Jack Xu. This book was released on 2016-12-05. Practical C# and WPF For Financial Markets available in PDF, EPUB and Kindle. Practical C# and WPF for Financial Markets provides a complete explanation of .NET programming in quantitative finance. It demonstrates how to implement quant models and back-test trading strategies. It pays special attention to creating business applications and reusable C# libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: • Overview of C#, WPF programming, data binding, and MVVM pattern, which is necessary to create MVVM compatible .NET financial applications. • Step-by-step approaches to create a variety of MVVM compatible 2D/3D charts, stock charts, and technical indicators using my own chart package and Microsoft chart control. • Introduction to free market data retrieval from online data sources using .NET interfaces. These data include EOD, real-time intraday, interest rate, foreign exchange rate, and option chain data. • Detailed procedures to price equity options and fixed-income instruments, including European/American/Barrier options, bonds, and CDS, as well as discussions on related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. • Introduction to linear analysis, time series analysis, and machine learning in finance, which covers linear regression, PCA, SVM, and neural networks. • In-depth descriptions of trading strategy development and back-testing, including strategies for single stock trading, stock pairs trading, and trading for multi-asset portfolios.

Practical WPF Charts and Graphics

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Release : 2010-08-11
Genre : Computers
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Book Rating : 827/5 ( reviews)

Practical WPF Charts and Graphics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical WPF Charts and Graphics write by Jack Xu. This book was released on 2010-08-11. Practical WPF Charts and Graphics available in PDF, EPUB and Kindle. Creating 2D and 3D charts is one of the most common uses of computer graphics. Such charts can have wide applications in representing mathematical, physical, and economic functions in your daily life. Whether you are an engineer, a quantitative analyst, a teacher, or a student, you will end up dealing with charting applications to some degree. Windows Presentation Foundation (WPF) is a next-generation graphics platform that enables you to build advanced user interfaces incorporating documents, media, 2D and 3D graphics, and animations. It is an ideal development tool that allows you to not only generate data, but also easily represent data graphically. Practical WPF Charts and Graphics provides all the tools you will need to develop professional chart and graphics applications in WPF and C#. This book will be useful for WPF and C# programmers of all skill levels, providing a complete and comprehensive explanation of WPF's graphics capability and the creation of various charts, and paying special attention to the details of code implementation.

C# for Financial Markets

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Release : 2013-03-04
Genre : Business & Economics
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Book Rating : 089/5 ( reviews)

C# for Financial Markets - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook C# for Financial Markets write by Daniel J. Duffy. This book was released on 2013-03-04. C# for Financial Markets available in PDF, EPUB and Kindle. A practice-oriented guide to using C# to design and program pricing and trading models In this step-by-step guide to software development for financial analysts, traders, developers and quants, the authors show both novice and experienced practitioners how to develop robust and accurate pricing models and employ them in real environments. Traders will learn how to design and implement applications for curve and surface modeling, fixed income products, hedging strategies, plain and exotic option modeling, interest rate options, structured bonds, unfunded structured products, and more. A unique mix of modern software technology and quantitative finance, this book is both timely and practical. The approach is thorough and comprehensive and the authors use a combination of C# language features, design patterns, mathematics and finance to produce efficient and maintainable software. Designed for quant developers, traders and MSc/MFE students, each chapter has numerous exercises and the book is accompanied by a dedicated companion website, www.datasimfinancial.com/forum/viewforum.php?f=196&sid=f30022095850dee48c7db5ff62192b34, providing all source code, alongside audio, support and discussion forums for readers to comment on the code and obtain new versions of the software.

Handbook of Financial Markets: Dynamics and Evolution

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Release : 2009-06-12
Genre : Business & Economics
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Book Rating : 434/5 ( reviews)

Handbook of Financial Markets: Dynamics and Evolution - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Financial Markets: Dynamics and Evolution write by Thorsten Hens. This book was released on 2009-06-12. Handbook of Financial Markets: Dynamics and Evolution available in PDF, EPUB and Kindle. The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. - Explains the market dynamics of asset prices, offering insights about asset management approaches - Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics

Practical Quantitative Finance with ASP.NET Core and Angular

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Release : 2019-03
Genre : Business & Economics
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Book Rating : 569/5 ( reviews)

Practical Quantitative Finance with ASP.NET Core and Angular - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Quantitative Finance with ASP.NET Core and Angular write by Jack Xu. This book was released on 2019-03. Practical Quantitative Finance with ASP.NET Core and Angular available in PDF, EPUB and Kindle. This book provides comprehensive details of developing ultra-modern, responsive single-page applications (SPA) for quantitative finance using ASP.NET Core and Angular. It pays special attention to create distributed web SPA applications and reusable libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: Overview of ASP.NET Core and Angular, which is necessary to create SPA for quantitative finance. Step-by-step approaches to create a variety of Angular compatible real-time stock charts and technical indicators using ECharts and TA-Lib. Introduction to access market data from online data sources using .NET Web API and Angular service, including EOD, intraday, real-time stock quotes, interest rates. Detailed procedures to price equity options and fixed-income instruments using QuantLib, including European/American/Barrier/Bermudan options, bonds, CDS, as well as related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. Detailed explanation to linear analysis and machine learning in finance, which covers linear regression, PCA, KNN, SVM, and neural networks. In-depth descriptions of trading strategy development and back-testing for crossover and z-score based trading signals.