9780979372551-0979372550-Practical C# and WPF for Financial Markets: Advanced C#, WPF, and MVVM Programming for Quant Developers/Analysts and Individual Traders

Practical C# and WPF for Financial Markets: Advanced C#, WPF, and MVVM Programming for Quant Developers/Analysts and Individual Traders

ISBN-13: 9780979372551
ISBN-10: 0979372550
Author: Jack Xu
Publication date: 2016
Publisher: Ji-Hai Xu
Format: Paperback 618 pages
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Book details

ISBN-13: 9780979372551
ISBN-10: 0979372550
Author: Jack Xu
Publication date: 2016
Publisher: Ji-Hai Xu
Format: Paperback 618 pages

Summary

Practical C# and WPF for Financial Markets: Advanced C#, WPF, and MVVM Programming for Quant Developers/Analysts and Individual Traders (ISBN-13: 9780979372551 and ISBN-10: 0979372550), written by authors Jack Xu, was published by Ji-Hai Xu in 2016. With an overall rating of 3.5 stars, it's a notable title among other Financial Risk Management (Finance) books. You can easily purchase or rent Practical C# and WPF for Financial Markets: Advanced C#, WPF, and MVVM Programming for Quant Developers/Analysts and Individual Traders (Paperback) from BooksRun, along with many other new and used Financial Risk Management books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.68.

Description

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 backtest 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 backtesting, including strategies for single stock trading, stock pairs trading, and trading for multi-asset portfolios.

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