Organize financial data in F# using Packt's latest book and eBook

February 2014 | Open Source

Packt is pleased to announce the release of its new book F# for Quantitative Finance, an easy-to-follow guide to perform exploratory developments by leveraging the .NET platform and other tools from Microsoft using F#. It will help readers learn how to build a completely automated trading system through a user-friendly combination of theory and tutorials. This book has 286 pages and costs $44.99. It's also now available in all the popular formats including Amazon Kindle, e-pub, and PDF for $22.94.

About the Author :

Johan Astborg, is a developer by profession and an architect of various kinds of software systems and applications, financial software systems, trading systems, and mobile and web applications. Johan's fondness for quantitative finance comes from Lund University, where he pursued courses in computer science, mathematics, and physics. At present, Johan is learning pure mathematics at Lund University, Sweden. Johan has worked as a part-time developer for Sony Ericsson and other firms in Sweden, and he is also a part-time consultant focusing on web technologies and cloud solutions.

F# for Quantitative Finance will help users to plot, visualize, and utilize F# to aggregate data and calculate statistics. It will enable users to understand concepts such as volatility, delta hedging, and volatility arbitrage. Understanding basic numerical analysis, algorithm implementation, modeling orders and market data, together with basic pre-trade risk is made easy with this guide. Users can explore automated trading systems and quantitative trading models with the help of this book. Practitioners of quantitative finance, economics, or mathematics who wish to learn F# will find this book useful.

F# for Quantitative Finance covers the following topics:

Preface
Chapter 1: Introducing F# Using Visual Studio
Chapter 2: Learning More About F#
Chapter 3: Financial Mathematics and Numerical Analysis
Chapter 4: Getting Started with Data Visualization
Chapter 5: Learning Option Pricing
Chapter 6: Exploring Volatility
Chapter 7: Getting Started with Order Types and Market Data
Chapter 8: Setting Up the Trading System Project
Chapter 9: Trading Volatility for Profit
Chapter 10: Putting the Pieces Together
Index

Packt has also published another title that is related to this topic:
Introduction to R for Quantitative Finance

About Packt:
Packt is one of the most prolific and fast-growing tech book publishers in the world. Originally focused on open source software, Packt books focuses on practicality, recognizing that readers are ultimately concerned with getting the job done. Packt’s digitally-focused business model allows to publish up-to-date books in very specific areas.



F# for Quantitative Finance
An introductory guide to utilizing F# for quantitative finance leveraging the .NET platform

For more information, please visit: F# for Quantitative Finance




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