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You're reading from  R for Data Science Cookbook (n)

Product typeBook
Published inJul 2016
Reading LevelIntermediate
Publisher
ISBN-139781784390815
Edition1st Edition
Languages
R
Tools
ggplot
Concepts
Data Science
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Author (1)
Yu-Wei, Chiu (David Chiu)
Yu-Wei, Chiu (David Chiu)
author image
Yu-Wei, Chiu (David Chiu)

Yu-Wei, Chiu (David Chiu) is the founder of LargitData (www.LargitData.com), a startup company that mainly focuses on providing big data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building big data platforms for business intelligence and customer relationship management systems. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis. Yu-Wei is also a professional lecturer and has delivered lectures on big data and machine learning in R and Python, and given tech talks at a variety of conferences. In 2015, Yu-Wei wrote Machine Learning with R Cookbook, Packt Publishing. In 2013, Yu-Wei reviewed Bioinformatics with R Cookbook, Packt Publishing. For more information, please visit his personal website at www.ywchiu.com. **********************************Acknowledgement************************************** I have immense gratitude for my family and friends for supporting and encouraging me to complete this book. I would like to sincerely thank my mother, Ming-Yang Huang (Miranda Huang); my mentor, Man-Kwan Shan; the proofreader of this book, Brendan Fisher; Members of LargitData; Data Science Program (DSP); and other friends who have offered their support.
Read more about Yu-Wei, Chiu (David Chiu)

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Predicting stock prices with an ARIMA model

As the historical prices of a stock are also a time series, we can thus build an ARIMA model to forecast future prices of a given stock. In this recipe, we introduce how to load historical prices with the quantmod package, and make predictions on stock prices with ARIMA.

Getting ready

In this recipe, we use the example of stock price prediction to review all the concepts we have covered in previous topics. You will require knowledge of how to create an ARIMA model and make predictions based on a built model to follow this recipe.

How to do it…

Please perform the following steps to predict Facebook's stock price with the ARIMA model:

  1. First, install and load the quantmod package:

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

  2. Download the historical prices of Facebook Inc from Yahoo with quantmod:

    > getSymbols("FB",src="yahoo", from="2015-01-01")

  3. Next, plot the historical stock prices as a line chart:

    > plot(FB)

    Figure 23: A historical...

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R for Data Science Cookbook (n)
Published in: Jul 2016Publisher: ISBN-13: 9781784390815
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Yu-Wei, Chiu (David Chiu)

Yu-Wei, Chiu (David Chiu) is the founder of LargitData (www.LargitData.com), a startup company that mainly focuses on providing big data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building big data platforms for business intelligence and customer relationship management systems. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis. Yu-Wei is also a professional lecturer and has delivered lectures on big data and machine learning in R and Python, and given tech talks at a variety of conferences. In 2015, Yu-Wei wrote Machine Learning with R Cookbook, Packt Publishing. In 2013, Yu-Wei reviewed Bioinformatics with R Cookbook, Packt Publishing. For more information, please visit his personal website at www.ywchiu.com. **********************************Acknowledgement************************************** I have immense gratitude for my family and friends for supporting and encouraging me to complete this book. I would like to sincerely thank my mother, Ming-Yang Huang (Miranda Huang); my mentor, Man-Kwan Shan; the proofreader of this book, Brendan Fisher; Members of LargitData; Data Science Program (DSP); and other friends who have offered their support.
Read more about Yu-Wei, Chiu (David Chiu)

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