Algorithmic Trading Research
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The PowerPoint that we created for the CURO symposium. It outlines our general idea as well as shows examples of how we implemented it
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- 1. Algorithmic Trading through Social Media Analytics By: Carson Aft, Andrew Angoyar, Tom McBrearty, Danny Sanchez
- 2. Purpose John Maynard Keynes believed predicting the stock market was impossible without tapping into the collective psyche. As technology has become a more intimate part of the everyday experience, it has become feasible to quantify and qualify the minds of men.
- 3. The Idea As the volume of data grows, it can be harnessed to understand both the sentiment and the content of our society at large. Through statistical and mathematical tools, the exponential growth of information can be realized into informed and nuanced decisions.
- 5. Hadoop Simply put, the current framework to distribute process this BIG DATA. Is made up of various individual components
- 7. Distributed System A distributed system is a collection of independent computers that appears to its users as a single coherent system.
- 8. Characteristics of Distributed Systems ● Hides heterogeneity and internal workings ● Easy to expand or scale ● Continuous availability ● Layered design
- 9. Example from the Project
- 10. The Utilization Multivariate regressions and statistical certainty means that we can automate informed decisions, even without human eyes ever laying eyes on them (Automated Trading).
- 12. Future Research
- 13. Bibliography 1. Tanenbaum, A., & Steen, M. (n.d.). Distributed systems: Principles and paradigms (2nd ed.).