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F# for Quantitative Finance

By : Johan Astborg

3.8 (5)

F# for Quantitative Finance

3.8 (5)

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.

F# for Quantitative Finance

F# for Quantitative Finance

Credits

Credits

About the Author

About the Author

About the Reviewers

About the Reviewers

www.PacktPub.com

www.PacktPub.com

Preface

Preface

Free Chapter

Introducing F# Using Visual Studio

Introducing F# Using Visual Studio

Introduction

Getting started with Visual Studio

Understanding F# Interactive

Language overview

Explaining mutability and immutability

Primitive types

Explaining type inference

Explaining functions

Documenting your code

Your first application

The whole program

The power of prototyping

Functional languages in quantitative finance

Understanding the imperative code and interoperability

Summary

Learning More About F#

Learning More About F#

Structuring your F# program

Looking deeper inside data structures

Choosing data structures

More on functional programming

Asynchronous and parallel programming

A brief look at imperative programming

Using XML documentation

Summary

Financial Mathematics and Numerical Analysis

Financial Mathematics and Numerical Analysis

Understanding the number representation

Learning about numerical types in F#

Arithmetic operators

Learning about arithmetic comparisons

Math operators

Conversion functions

Introducing statistics

Using the Math.NET library

Learning about root-finding algorithms

Summary

Getting Started with Data Visualization

Getting Started with Data Visualization

Making your first GUI in F#

Composing interfaces

Displaying data

Extending the application to use Bollinger bands

Using FSharp.Charting

Creating a bar chart

Summary

Learning Option Pricing

Learning Option Pricing

Introduction to options

Learning the Black-Scholes formula

The Monte Carlo method

Summary

Exploring Volatility

Exploring Volatility

Introduction to volatility

Learning about implied volatility

Solving for implied volatility

Delta hedging using Black-Scholes

Exploring the volatility smile

Summary

Getting Started with Order Types and Market Data

Getting Started with Order Types and Market Data

Introducing orders

Understanding order execution

Introducing market data

Implementing simple pretrade risk analysis

Introducing FIX and QuickFIX/N

Summary

Setting Up the Trading System Project

Setting Up the Trading System Project

Explaining automated trading

Understanding software testing and test-driven development

Understanding NUnit and FsUnit

Connecting to Microsoft SQL Server

Introducing type providers

Writing test cases

Summary

Trading Volatility for Profit

Trading Volatility for Profit

Trading the volatility

Plotting payoff diagrams with FSharpCharts

Learning directional trading strategies

Deriving the mathematics

Learning relative value trading strategies

Defining the trading strategy

Summary

Putting the Pieces Together

Putting the Pieces Together

Understanding the requirements

Revisiting the structure of the system

Understanding the Model-View-Controller pattern

Executing the trading strategy using a framework

Building the GUI

Presenting information in the GUI

Adding support for downloading the data

Looking at possible additions to the system

Summary

Index

Index

Using the Math.NET library

Instead of implementing your own functions for numerical support, there is an excellent library called Math.NET. It's an open-source library covering fundamental mathematics such as linear algebra and statistics.

The Math.NET library consists of the following libraries:

Math.NET numerics: Numerical computing
Math.NET neodym: Signal processing
Math.NET linq algebra: Computer algebra
Math.NET yttrium: Experimental network computer algebra

In this section, we'll look at Math.NET numerics, and see how it can help us in our F# programming. First, we need to make sure that Math.NET is installed on our system.

Installing the Math.NET library

The Math.NET library can be installed using the built-in Package Manager.

Open the Package Manager Console by going to View | Other Windows | Package Manager Console.
Type in the following command:
```
Install-Package MathNet.Numerics
```
Wait for the installation to complete.

Note

You can read more about the Math.NET project on the project's website...

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Tech Concepts

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Programming languages

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