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Basic Statistics and Probability

  • Harry Georgakopoulos
Chapter
  • 826 Downloads

Abstract

We now know how to convert raw time series data into xts objects, how to use quantmod to retrieve data from local and remote repos, and how to create basic visualizations with ggplot2. The next logical step is to start looking for patterns in the data that might reveal exploitable trading opportunities. This course of action inevitably leads us to ask questions about the statistical nature of financial time series.

Keywords

Mean Square Error Central Limit Theorem Sample Space Probability Mass Function Fair Coin 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Folk Creations, Inc. 2015

Authors and Affiliations

  • Harry Georgakopoulos

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