Book Image

F# for Quantitative Finance

By : Johan Astborg
Book Image

F# for Quantitative Finance

By: Johan Astborg

Overview of this book

F# is a functional programming language that allows you to write simple code for complex problems. Currently, it is most commonly used in the financial sector. Quantitative finance makes heavy use of mathematics to model various parts of finance in the real world. If you are interested in using F# for your day-to-day work or research in quantitative finance, this book is a must-have.This book will cover everything you need to know about using functional programming for quantitative finance. Using a functional programming language will enable you to concentrate more on the problem itself rather than implementation details. Tutorials and snippets are summarized into an automated trading system throughout the book.This book will introduce you to F#, using Visual Studio, and provide examples with functional programming and finance combined. The book also covers topics such as downloading, visualizing and calculating statistics from data. F# is a first class programming language for the financial domain.
Table of Contents (17 chapters)
F# for Quantitative Finance
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Explaining automated trading


Automated trading is becoming increasingly popular these days. Most trading strategies can be implemented to be traded by a computer. There are many benefits to automating a trading strategy. The trading strategy can be backtested using historical data. This means the strategy is run on historical data and the performance of the strategy can be studied. We'll not cover backtesting in this book, but the trading system developed here can be modified to support backtesting.

Automated trading systems are, as the name suggests, automated systems for trading that are run on a computer. They often consist of several parts such as feed handlers, order management systems, and trading strategies. Typically, automated trading systems will represent a pipeline from market data to orders to be executed, and keep track of state and history. Rules are written to be executed in near real time for the market data entering the system. It's much like a regular control system, with...