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PROJECT


Stock Data Analysis with R

The R programming language has a rich collection of libraries that make it a valuable tool for statistical modeling. In this project, we will learn about R, its libraries `quantmod` and `ggplot2`, and how we can use them to analyze stocks and investments.

Stock Data Analysis with R

You will learn to:

Fetch live financial data from Yahoo Finance using R

Prepare financial data for analysis using R

Compute averages and returns of financial data

Plot primary and derived information using R

Skills

Data Visualization

Data Manipulation

Prerequisites

Basic coding skills in R

Basic knowledge about plotting

Basic understanding of statistical tools

Basic experience using `quantmod` and `ggplot2`

Technology

Rlang

Project Description

R is a programming language and integrated environment that centers on statistics, but also has various applications in other fields. Stock and investment analysis is a technical domain that is well suited to R. This project uses basic R, as well as the quantmod and ggplot2 libraries, to analyze stocks and investments.

In this project, we will explore the basic techniques of visualizing stock market data, calculating moving averages to analyze trends, and computing the returns.

For this, we’ll use the Paltalk, Inc (PALT) stock. Paltalk is a communications software provider that develops secure solutions for multimedia communication and data transmission. For the purpose of this project, we will only analyze a part of the PALT stock dataset. However, we can apply the techniques we’ll learn here to the entire dataset.

Project Tasks

1

Data Manipulation

Task 1: Load the Required Libraries

Task 2: Fetch the Data

Task 3: Explore the Data

Task 4: Visualize the Data

2

Moving Averages

Task 5: Calculate the Moving Averages

Task 6: Plot the Moving Averages

3

Returns

Task 7: Compute the Returns

Task 8: Visualize the Returns

Congratulations!