Date of Submission

Spring 2012

Academic Program

Computer Science

Project Advisor 1

Rebecca Thomas

Abstract/Artist's Statement

Artificial neural networks were trained to recognize patterns in stock price action across four major categories of US companies. Results showed a strong correlation between market metrics and price movement. A network producing profitable expected behavior predictions for GE in 2006 was created.

Distribution Options

Access restricted to On-Campus only

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

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