Worcester Polytechnic Institute Electronic Projects Collection

Title page for E-project-053011-152817

Project TypeIQP
Submission date2011-05-30
Authors
  • Benjamin F Blakeslee, benblakeslee@WPI.EDU, MAC
  • Vanessa Guo, MIS
  • James Ham, jhs.ham@WPI.EDU, CS
    • URNE-project-053011-152817
    DivisionEconomic Growth, Stability, and Development
    TitleStock Market Analysis
    Advisor
  • Hakim, Hossein, EE
    • Availability unrestricted

    Abstract

    With the recent financial crisis in America, investors have received much of the blame and have been tasked with improving investment techniques to prevent another recession of similar magnitude. Here we look to develop new methods for investing using algorithms that automate the process of deciding whether to buy, sell, or avoid a stock. These algorithms use both technical and fundamental data to improve investing success by removing the factor of human emotion from trading, reducing risk of loss due to greed. We ultimately find that with a careful application of technical and fundamental data, as well as a thorough understanding patterns in financial markets, it is possible to develop an automated trading strategy that can profitably trade stocks and currencies.

    Files
  • IQPfinal2011.pdf

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