University of Technology, Arts and Design

Investment management algorithm

  • DESCRIPTION: In this project, a predictive model of the share price of companies in the S&P 500 index has been developed and optimized with moderately satisfactory results. The model is too prone to extending existing trends and adapts to trend changes too slowly, but results in good enough predictions for application in investment portfolio design if regular predictions are made at defined time intervals. These predictions have made it possible to select the best candidate companies based on their annual growth expectations.
  • CREATED: Álvaro Martinez Ceballos 
  • DEGREE: B.S. Computer Science