Learn Financial Programming and Timeseries Analysis Basics in R and R Studio
Not enough for you? Want to learn more R? Our friends over at DataCamp will whip you into shape real quick if you need help:
https://www.datacamp.com/courses/free-introduction-to-r?tap_a=5644-dce66f&tap_s=84932-063f71
Or if you're more of a Python guy, we have an intro to finance for Python course live on DataCamp right now:
https://www.datacamp.com/courses/introduction-to-portfolio-analysis-in-r?tap_a=5644-dce66f&tap_s=84932-063f71
Join the Quants by taking our Quant Course at http://quantcourse.com
1) Basics of R Programming / Downloading R
2) Using Data Frames
3) An Intro to the Quantmod Package
4) Reading in Financial Data from Quantmod
5) Using Vectors in R
6) Reading and Writing Data as CSV Files
7) Plotting Timeseries Data in R
8) Working with Split / Dividend Adjusted Data
9) Calculating Log Returns
10) Converting Log Returns to Arithmetic and Vice-Versa
11) Apply Function in R / Working With Multivariate Data
12) Intro to the Performance Analytics Package
13) XTS and Zoo Objects for Financial Data
14) Chart the Cumulative Return of an Asset
15) Chart the Drawdown and Daily Returns of an Asset
16) Charting Multiple Assets at Once in R
17) Merging Different Datasets With Different Indexes
18) Calculating Sharpe Ratios and other Performance Metrics

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