Abstract: In this entry level workshop you will learn how to download and evaluate equities with the TTR (technical trading rules) package. We will evaluate an equity according to three basic indicators and introduce you to backtesting for more sophisticated analyses on your own. Next we will model a financial market's risk versus reward to identify the best possible individual investments in the market. Lastly, we will explore a non-traditional market, simulate the reward in the market and put our findings to an actual test in a highly speculative environment.

Bio: Ted Kwartler is an adjunct professor at Harvard University's Extension School, author of the book "Text Mining in Practice with R" and has two NLP courses on DataCamp.com. He has worked at amazon.com and was an early employee at DataRobot. At both he had the opportunity to apply data science to benefit customers, and improve business decision making. Ted holds an MBA from the University of Notre Dame with a concentration in Marketing Analytics.

Open Data Science Conference