The recession due to the pandemic has led to high rates of inflation. This has caused increased volatility in the stock market. The goal of this IQP was to create models that can make short term predictions for stock prices, taking into consideration the volatility with the effects of the recession. We designed predictive models to help investors make informed decisions. Historical stock prices were used to make predictions, which were tested on future data and using virtual stock trading platforms.

• 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

• Tran, Dang
• Albuquerque, Abigail
• Vo, Justin
• Giardina, Walter
• Lam, Kaycie

Subject

• Innovation
• Industry
• Learning
• Project-Based Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-122022-124111
• 84271

Keyword

• Market Influence
• Stock Prices
• Modelling
• Fourier Analysis

Advisor

• Humi, Mayer

Year

• 2022

UN Sustainable Development Goals

• 10 - Reducing Inequality

Date created

• 2022-12-20

Resource type

• Interactive Qualifying Project

Source

• E-project-122022-124111

Rights statement

• In Copyright

Last modified

• 2023-01-12