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https://github.com/lastancientone/simplestockanalysisr

Tutor step-by-step on how to analyze stock data using the R language.
https://github.com/lastancientone/simplestockanalysisr

data-analysis data-visualization finance financial-analysis financial-data quantmod r stock stock-analysis stock-market stock-trading tutorial-code

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Tutor step-by-step on how to analyze stock data using the R language.

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# Simple Stock Analysis in R
This tutorial is titled "Simple Stock Analysis in R" and is designed to provide a straightforward and easily understandable introduction to stock analysis. It is particularly suitable for beginners who are keen on learning about stock analysis and have aspirations of becoming quants. Additionally, this tutorial is aimed at individuals who are interested in utilizing the R language for their stock analysis endeavors.

## Prerequistes
R
RStudio - Use R Notebook
Jupyter Notebook - Use R in Jupyter

### Download Langauge and Software
https://www.r-project.org/
https://www.rstudio.com/
https://www.spyder-ide.org/

Programming Language:


R

Software:


R Spyder

## Dependencies
quantmod

## List of the questions for simple stock tutorial in R:
______________________________________________________________________________________________________________________________
1. How to get data from quantmod, yahoo, or other sites?
2. How to manipulate data in dataframe or array?
2. How to analyze the Historical stock data?
3. How to plot data in different type visualization?
______________________________________________________________________________________________________________________________

## See the preview of my tutorial
### Paste the address on the website
https://htmlpreview.github.io/ # For html view

https://nbviewer.jupyter.org/ # For jupyter view

Buy Me A Coffee

## Authors
### Tin Hang

## I hope you enjoy learning from this simple tutorial in R.

## Disclaimer
🔻 Do not use this code for investing or trading in the stock market. However, if you are interested in the stock market, you should read books 📘 📗 📙 hat are related to the stock market or finance.

## This is not a "get-rich-quick" scheme; rather, it is intended for research and educational purposes.