Author(s)
Term
4. semester
Education
Publication year
2023
Submitted on
2023-05-31
Pages
75 pages
Abstract
In the last decade, cryptocurrencies have become ever more popular but so have cryptocurrency investment scams. In order for investors to make safe, well-informed investments in the cryptocurrency market, this project proposes a price forecasting tool, named CincoCrypto, which is developed to be a simple, open-source alternative targeted to all audiences. Four Machine Learning models are trained in the tool, using financial data from 1-year datasets to make 1-day ahead predictions. The results show that the Space Vector Regression model is the fastest whereas the Convolutional Neural Network model is the most accurate of the four.
Documents
Colophon: This page is part of the AAU Student Projects portal, which is run by Aalborg University. Here, you can find and download publicly available bachelor's theses and master's projects from across the university dating from 2008 onwards. Student projects from before 2008 are available in printed form at Aalborg University Library.
If you have any questions about AAU Student Projects or the research registration, dissemination and analysis at Aalborg University, please feel free to contact the VBN team. You can also find more information in the AAU Student Projects FAQs.