Title

Project GIRO

Lead Author Major

Computer Science

Format

SOECS Senior Project Demonstration

Faculty Mentor Name

Michael Doherty

Faculty Mentor Department

Computer Science

Abstract/Artist Statement

Project GIRO (Genetic Investment Recommendation) is an algorithmic trading system. The goal of Project GIRO is to streamline the process of stock market investment. Project GIRO uses a machine learning technique called a genetic algorithm to generate trading strategies. Those strategies are then used to provide the user with a short list of viable investment opportunities. This program can save investors time by performing time consuming tasks like mathematical analysis and strategy back-testing. Project GIRO is capable of inventing investment models that employ a variety of different strategies based on the goals and starting capital of the user.

Location

School of Engineering & Computer Science

Start Date

7-5-2020 2:30 PM

End Date

7-5-2020 4:00 PM

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May 7th, 2:30 PM May 7th, 4:00 PM

Project GIRO

School of Engineering & Computer Science

Project GIRO (Genetic Investment Recommendation) is an algorithmic trading system. The goal of Project GIRO is to streamline the process of stock market investment. Project GIRO uses a machine learning technique called a genetic algorithm to generate trading strategies. Those strategies are then used to provide the user with a short list of viable investment opportunities. This program can save investors time by performing time consuming tasks like mathematical analysis and strategy back-testing. Project GIRO is capable of inventing investment models that employ a variety of different strategies based on the goals and starting capital of the user.