In this project, data was utilized to make more informed investment decisions as well as mitigate stock market investment risk. The initial project was to analyze a series of job search databases in an effort to make predictions about future migration trends and make more informed real estate investment decisions. Next, we worked to improve the company’s existing stock portfolio risk analysis by scraping comments from the subreddit WallStreetBets and analyzing stock purchase sentiment and comparing it to historical market data using natural language processing and time series analysis.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gebler, Luke
• Nicklas, Andrew
• Ma, Zhifei

Subject

• Computing
• Industry
• Innovation
• Project-Based Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• 43161
• E-project-121421-210459

Keyword

• WallStreetBets
• Machine learning
• sentiment analysis
• linear regression
• employment trends
• FinTech

Advisor

• Wong, Wilson
• Sarnie, Robert
• Blais, Marcel Y.

Year

• 2021

UN Sustainable Development Goals

• Not Specified

Date created

• 2021-12-14

Resource type

• Major Qualifying Project

Major

• Computer Science
• Mathematical Sciences
• Business

Rights statement

• In Copyright

License

• All rights reserved