Algorithmic Trading Application for Financial Resilience
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We built an end-to-end, web-based, algorithmic trading application for financial resilience. Our application enables financially-inexperienced users to invest in recommended portfolios quickly and without doing research. The portfolios are generated by a genetic algorithm alongside a risk management strategy. The "Showcase Slideshow" Artifact below contains an overview of our project. The other documents provide varying levels of technical detail about the project, itself. Project Partner: Chester Ornes, Levrum Data Technologies Team Contact Information: Alec Hayden - haydena@oregonstate.edu Jose Ramos - ramosjos@oregonstate.edu Francisco Bolanos - bolanosf@oregonstate.edu Hae Won Cho - choha@oregonstate.edu Cody Cleeves - cleevesd@oregonstate.edu Shile Song - songsh@oregonstate.edu Jacob Berwick - berwicja@oregonstate.edu Matthew Jordan - jordanma@oregonstate.edu
Artifacts
| Name | Description | |
|---|---|---|
| Problem Statement | The problem statement of our project. | Link |
| Requirements Document | The requirements for our project. | Link |
| Design Document | The complete design document of our project. | Link |
| Design Changes | Changes made to our project design. | Link |
| Demo Video | This is a demo video of our beta functionality. | Link |
| Showcase Presentation | Project Presentation for the project showcase. | Link |
| Client Website | Website for our client, Levrum Data Technologies, led by Chester Ornes. | Link |