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Autor(en): 
  • Jack Xu
  • Practical Quantitative Finance with ASP.NET Core and Angular: Building Ultra-Modern, Responsive Single-Page Web Applications for Quantitative Finance 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  März 2019  
    Genre:  EDV / Informatik 
     
    Computers - General Information / COMPUTERS / Programming Languages / ASP.NET
    ISBN:  9780979372568 
    EAN-Code: 
    9780979372568 
    Verlag:  Unicad 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 191 mm / D 33 mm 
    Gewicht:  1102 gr 
    Seiten:  652 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    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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