Analyze Stock Data using R and Quantmod Package Offered by Coursera Project Network. In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod package.
In this Guided Project, you will:
How to Pull down Stock Data using the R Quantmod Package
Ability to quickly calculate daily returns on stocks chosen
Ability to graph the stocks and calculate a Sharpe Ratio for risk evaluation
In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod package. You will also learn how to perform analytics and pass financial risk functions to the data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Task 1: In this task the Learner will be introduced to the Course Objectives, which is to how to pull Stock Data for analytics using the R quantmod Package. There will be a short discussion about the Interface and an Instructor Bio.
Task 2: The Learners will first download stock data using quantmod and the Yahoo Finance API. The Learner will then get practice with the syntax of quantmod by sub-setting the stock data.
Task 3: The Learner will get more experience manipulating the data using some R sub-setting functions.
Task 4: The Learner will be introduced to Data Frames and Time Series Objects and learn the difference between them. Moreover the learner will get practice converting between the two.
Task 5: The Learner will get practice pulling down adjusted daily return stock data using Microsoft’s stock. The Instructor will teach you how