Ανάλυση και πρόβλεψη της τιμής των Κρυπτονομισμάτων (Bitcoin) – Με χρήση αλγορίθμων μηχανικής μάθησης και τεχνητών νευρωνικών δικτύων
Cryptocurrency (Bitcoin) price analysis and forecasting – Using machine learning algorithms and artificial neural networks
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Keywords
Κρυπτονομίσματα ; Μηχανική μάθηση ; Χρονοσειρές ; Πρόβλεψη ; Τεχνητά νευρωνικά δίκτυαAbstract
In the framework of this Thesis, a bibliographic review of researches, machine learning
algorithm devices and artificial neural networks for the prediction of the cryptocurrency price
index, specifically Bitcoin, is carried out.
Reference is made to the historical background of cryptocurrencies, how they work as
well as the technology and mechanisms behind it. The factors that influence the course of
cryptocurrencies and the consequences that these changes have on the sharp fluctuation of their
price are described in detail.
The operation of machine learning algorithms and artificial neural networks used to
predict this indicator is analyzed. The following explains how data is collected, pre-processed
and modeled for use in the machine learning algorithms under consideration.
Finally, the results produced by the forecasting models are compared and the
conclusions that emerge for discussion are presented
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
104Language
GreekCollections
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Αναφορά Δημιουργού-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Όχι Παράγωγα Έργα 3.0 Ελλάδα