Produkt
KlappentextThis 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.
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.
Details
ISBN/GTIN978-0-9793725-6-8
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2019
Erscheinungsdatum01.03.2019
ReiheQuantitative Finance
Reihen-Nr.3
Seiten652 Seiten
SpracheEnglisch
MasseBreite 191 mm, Höhe 235 mm, Dicke 33 mm
Gewicht1102 g
Artikel-Nr.57286631
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