Is this project an undergraduate, graduate, or faculty project?
Undergraduate
group
What campus are you from?
Daytona Beach
Authors' Class Standing
Emily Olsen - Senior Vincenzo Prezioso - Sophomore
Lead Presenter's Name
Emily Olsen
Faculty Mentor Name
Khem Poudel
Abstract
Bitcoin, founded in 2009, is currently the most popular form of cryptocurrency holding over 60% of the market. While some investors have found great luck with Bitcoin, many are still hesitant as cryptocurrency does not have the same established growth as the stock market. The purpose of this project is to identify patterns in the volatility of Bitcoin and use these patterns to predict potential growth or decline in the short and long term value of Bitcoin. We intend to use established pattern recognizing methods such as the Grey Method or Neural Networks within the Python coding language.
Did this research project receive funding support from the Office of Undergraduate Research.
No
Bitcoin Tracking, Analysis, and Prediction
Bitcoin, founded in 2009, is currently the most popular form of cryptocurrency holding over 60% of the market. While some investors have found great luck with Bitcoin, many are still hesitant as cryptocurrency does not have the same established growth as the stock market. The purpose of this project is to identify patterns in the volatility of Bitcoin and use these patterns to predict potential growth or decline in the short and long term value of Bitcoin. We intend to use established pattern recognizing methods such as the Grey Method or Neural Networks within the Python coding language.