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
This work is licensed under a Creative Commons Attribution 3.0 License.
Recommended Citation
Howard, Maxwell, "Pattern Seeking Behavior: Multilayer Perceptron and Back Propagation with Momentum Applied to Stock Price Movements in 2006" (2012). Senior Projects Spring 2012. 282.
https://digitalcommons.bard.edu/senproj_s2012/282
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.
Bard Off-campus DownloadBard College faculty, staff, and students can login from off-campus by clicking on the Off-campus Download button and entering their Bard username and password.