9780979372568-0979372569-Practical Quantitative Finance with ASP.NET Core and Angular: Building Ultra-Modern, Responsive Single-Page Web Applications for Quantitative Finance using ASP.NET Core and Angular

Practical Quantitative Finance with ASP.NET Core and Angular: Building Ultra-Modern, Responsive Single-Page Web Applications for Quantitative Finance using ASP.NET Core and Angular

ISBN-13: 9780979372568
ISBN-10: 0979372569
Author: Jack Xu
Publication date: 2019
Publisher: UniCAD Publishing
Format: Paperback 652 pages
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Book details

ISBN-13: 9780979372568
ISBN-10: 0979372569
Author: Jack Xu
Publication date: 2019
Publisher: UniCAD Publishing
Format: Paperback 652 pages

Summary

Practical Quantitative Finance with ASP.NET Core and Angular: Building Ultra-Modern, Responsive Single-Page Web Applications for Quantitative Finance using ASP.NET Core and Angular (ISBN-13: 9780979372568 and ISBN-10: 0979372569), written by authors Jack Xu, was published by UniCAD Publishing in 2019. With an overall rating of 4.0 stars, it's a notable title among other Financial Engineering (Finance, Programming Languages) books. You can easily purchase or rent Practical Quantitative Finance with ASP.NET Core and Angular: Building Ultra-Modern, Responsive Single-Page Web Applications for Quantitative Finance using ASP.NET Core and Angular (Paperback) from BooksRun, along with many other new and used Financial Engineering books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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 backtesting for crossover and z-score based trading signals.

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