Stock Analysis: Create a Buy Signal Filter using R and the Quantmod Package

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在此指导项目中,您将:

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

2 Hours
初级
无需下载
分屏视频
英语(English)
仅限桌面

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.

您要培养的技能

  • Stock Modelling

  • Quantmod

  • R Programming

  • Data Analysis

  • Creating Buy Filters

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. 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.

  2. Task 2: The Learners will learn how to pull Stock Data and construct an xts object using the getsymbols function in the quantmod package.

  3. 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.

  4. Task 4: The Learner will build a histogram that will help in the threshold for the model Buy signal.

  5. 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.

  6. 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.

指导项目工作原理

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在分屏视频中,您的授课教师会为您提供分步指导

授课教师

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常见问题

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指导项目授课教师是特定领域的专家,他们在项目的技能、工具或领域方面经验丰富,并且热衷于分享自己的知识以影响全球数百万的学生。

您可以从指导项目中下载并保留您创建的任何文件。为此,您可以在访问云桌面时使用‘文件浏览器’功能。

指导项目不符合退款条件。请查看我们完整的退款政策

指导项目不提供助学金。

指导项目不支持旁听。

您可在页面顶部点按此指导项目的经验级别,查看任何知识先决条件。对于指导项目的每个级别,您的授课教师会逐步为您提供指导。

是,您可以在浏览器的云桌面中获得完成指导项目所需的一切。

您可以直接在浏览器中于分屏环境下完成任务,以此从做中学。在屏幕的左侧,您将在工作空间中完成任务。在屏幕的右侧,您将看到有授课教师逐步指导您完成项目。