August Meetup - Using R + Shiny to simplify financial market trading decisions

Title: Using R + Shiny to simplify financial market trading decisions
Dwayne Paschall

Trading financial markets is often a series of difficult, uncertain decisions. We will talk about how to leverage several statistical learning models in R to help elucidate those those decisions. Examples we will cover include:

1. How to filter out market “noise”
2. Determining which direction the market will turn tomorrow
3. Which technical indicators are best suited for each instrument (strategy tuning)
4. Introduction to sentiment analysis

All of this can be hosted on a Shiny server to make it accessible to wherever you go, regardless of which platform or trading software you use. We will also talk about how sometimes, these toolsl can point the way to new insight for developing new trading strategies as well.

Thanks to Revolution Analytics ( http://www.revolutionanalytics.com/ ), Bazaarvoice ( http://www.bazaarvoice.com/ ), and RStudio ( http://www.rstudio.com/ ) for their sponsorship!

Thanks to AT&T Labs for hosting us!