Practical Data Science: Analyzing Stock Market Data with R


Updated on

Course overview

Course type
Paid course
All Levels
4 hours
18 lessons
Available on completion
Course author
Manuel Amunategui
  • Use R on stock market data for insight and ideas
  • Download free, daily stock market data from Yahoo
  • Plot great looking financial charts
  • Apply basic technical analysis on stock market data
  • Explore trading ideas and display entries and exits
  • Gain additional insights by comparing similar stocks


Learn basic financial technical analysis technics using R (quantmod, TTR) to better understand your favorites stocks.

In this class, we will explore various technical and quantitative analysis techniques using the R programming language. I will code as I go and explain what I am doing. All the code is included in PDFs attached to each lecture. I encourage you to code along to not only better understand the concepts but realize how easy they are.

What We'll Cover

  • Easily access free, stock-market data using R and the quantmod package
  • Build great looking stock charts with quantmod
  • Use R to manipulate time-series data
  • Create a moving average from scratch
  • Access technical indicators with the TTR package
  • Create a simple trading systems by shifting time series using the binhf package
  • A look at trend-following trading systems using moving averages
  • A look at counter-trend trading systems using moving averages
  • Using more sophisticated indicators (ROC, RSI, CCI, VWAP, Chaikin Volatility)
  • Grouping stocks by theme to better understand them
  • Finding coupling and decoupling stocks within an index
  • What This Class Isn't

    This class isn't about telling you how to trade or revealing secret trading methods, but to show how easy it is to explore the stock market using R so you can come up with your own ideas.

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