Stock Analysis: Create a Buy Signal Filter using R and the Quantmod Package
How to pull down Stock Data using the R Quantmod Package
Ability to quickly calculate daily returns on stocks chosen
Ability to create Buy/Sell Signals based on RSI Index
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.
Skills you will develop
Learn step-by-step
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 and create a Buy Filter (Trading Rule). There will be a short discussion about the Interface and an Instructor Bio.
Task 2: The Learners will learn how to pull Stock Data and construct an xts object using the getsymbols function in the quantmod package.
Task 3: The Learner will explore the lag function in R and how it is used to calculate a percentage stock change for a specified period.
Task 4: The Learner will build a histogram that will help in the threshold for the model Buy signal.
Task 5: The Learner will create a new vector using a For Loop over the data passing the Buy signal parameters. This will return a binary.
Task 6: The learner will tie the Buy Signals to the data. A graph will then be created that will show both the buy signals and how the Signal performed on the specified data.
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Reviews
TOP REVIEWS FROM STOCK ANALYSIS: CREATE A BUY SIGNAL FILTER USING R AND THE QUANTMOD PACKAGE
The project was enlightening and I have developed a taste for coding.
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