Stock Return Prediction Algorithm


  • Austin Monroe
  • Joel Wattlington
  • Chris Laycock
  • Logan Davis


The stock market is ever changing and there is no certain way to predict which stocks will perform better than others.We plan to compile the stock data that is given to us by Challenge Data and develop an algorithm in order to predict how stocks will perform in the future. Many patterns can be seen in the data and our team plans to be able to predict, with a strong level of accuracy, the return of a stock based on the performance of that stock over a twenty day period.Our team will be using primarily R studio to perform our data analysis on this dataset. We plan to represent our data using many graphs showing the correlation between different stock parameters and the return. Using these graphs, we will be able to determine whether our hypotheses are correct and to what magnitude they impact the total return.






Computer Science