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RStudio for R Statistical Computing Cookbook

You're reading from   RStudio for R Statistical Computing Cookbook Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781784391034
Length 246 pages
Edition 1st Edition
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Author (1):
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Andrea Cirillo Andrea Cirillo
Author Profile Icon Andrea Cirillo
Andrea Cirillo
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Table of Contents (10) Chapters Close

Preface 1. Acquiring Data for Your Project 2. Preparing for Analysis – Data Cleansing and Manipulation FREE CHAPTER 3. Basic Visualization Techniques 4. Advanced and Interactive Visualization 5. Power Programming with R 6. Domain-specific Applications 7. Developing Static Reports 8. Dynamic Reporting and Web Application Development Index

Tracking stock movements using the quantmod package


An affordable and time-saving way to download and store stock prices can be considered a prerequisite for every future analysis on financial portfolio data.

The quantmod package offers R users a really convenient way to perform this task. Complete documentation for the package is available at http://www.quantmod.com.

Quantmod, through the getSymbols() function, lets you establish a direct connection with financial data sources such as:

  • Yahoo Finance

  • Google Finance

  • www.oanda.com

  • Federal Reserve economic data

This recipe will leverage the getSymbols() function to download Apple's stock quotations. A proper candle and bar chart will then be produced.

Getting ready

As you would expect, we first need to install and load the package:

install.packages("quantmod")
library('quantmod')

How to do it...

  1. Download data from Yahoo Finance:

    getSymbols("AAPL")
    
  2. Plot your data on candlechart:

    candleChart(AAPL, subset = 'last 1 year')
    

    Let's take a look at the following...

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