Predictive Modeling for Buying and Selling Bitcoin

Presenter Information

Evan Nordin, Central Washington University
Andrew Struthers, Central Washington University

Document Type

Poster

Event Website

https://source2022.sched.com/

Start Date

16-5-2022

End Date

16-5-2022

Keywords

Stock Market, Modeling, Interpolation, Polynomial

Abstract

Investable assets are frequently targeted by the general public in an attempt to turn some money into more money. One of the most volatile investable assets is Bitcoin. In September 2017, the value of one Bitcoin reached $20,000 before crashing to around $6,000 in December 2017. Many investors are attracted to Bitcoin due to this volatility. In this project, we will be attempting to use numerical modeling methods to analyze the price of Bitcoin over time. The goal of modeling the price of Bitcoin will be to form a system of predicting when it will rise and fall. This will allow us to write software that automates the buying and selling of Bitcoin to maximize the value of our trades.

Recommended Citation

Nordin, Evan and Struthers, Andrew, "Predictive Modeling for Buying and Selling Bitcoin" (2022). Symposium Of University Research and Creative Expression (SOURCE). 81.
https://digitalcommons.cwu.edu/source/2022/COTS/81

Faculty Mentor(s)

Brandy Wiegers

Department/Program

Applied Mathematics

Additional Mentoring Department

Applied Mathematics

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