In this Interactive Qualifying Project, a group of three were tasked to research and conduct a 10-week stock market simulation using three different trading methods: Scalp Trading, Dollar-cost averaging, and Position trading. The group first studied the history of US stock markets and then dove deeper into their respective trading methods. Three simulations were run using the same four stocks: Apple (AAPL), Microsoft Corp (MSFT), Nvidia Corporation (NVDA), and Tesla (TSLA). Each simulation started with a portfolio value of $100,000 or $200,000. Throughout the simulation, transactions were documented, and results were reported results on a weekly basis. At the end of the simulations, results were compared, and it was concluded that Position trading was the most successful, with a net profit of 14.1%. In contrast, Scalp trading and Dollar-Cost averaging produced a 1.4% and 4.4% increase, respectively. The experiences learned will be helpful for the future investment in the stock market.

• 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

• Luong, Duong
• Rodriguez, Walter
• Negash, Esrom

Subject

• Project-Based Learning
• Computing
• Inclusion
• Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-022723-152927
• 89906

Advisor

• Tang, Dalin

Year

• 2023

UN Sustainable Development Goals

• 8 - Decent Work and Economic Growth
• 12 - Responsible Consumption and Production

Date created

• 2023-02-27

Resource type

• Interactive Qualifying Project

Source

• E-project-022723-152927

Rights statement

• In Copyright

Última modificación

• 2023-06-08