Publication Date
Fall 2022
Document Type
Thesis
Degree Name
Master of Science
Department
Computer Science
First Advisor
Dr. Soon-Ok Park
Second Advisor
Professor Aslam Shahid
Third Advisor
Professor Freddie Kato
Abstract
It is proposed to conduct a project aimed at forecasting cryptocurrency price values. The concept of cryptocurrencies refers to computerized money that is used for a variety of transactions as well as for long-term investments. The most common cryptocurrency that most of the systems use to conduct their transactions is the Ethereum cryptocurrency. However, it needs to be noted that there are many other well-known crypto currencies other than ethereum as well. We propose to use Machine Learning for this project, which will be trained from the available cryptocurrency price data, to gain intelligence, and then use this knowledge to make accurate predictions. Trading cryptocurrency prices is one of the most popular exchanges right now. It is suggested that both day traders and investors can benefit greatly from using the suggested approach.
Recommended Citation
Meenaz, Ayesha, "Predicting the Price of Cryptocurrency Using Machine Learning Algorithm" (2022). All Student Theses. 132.
https://opus.govst.edu/theses/132