Η αξιοποίηση της τεχνητής νοημοσύνης στον οικονομικό κλάδο : πρόβλεψη τιμών μετοχών με τη χρήση μηχανικής μάθησης
The utilization of artificial intelligence in the economic sector : forecasting stock prices using machine learning
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Keywords
Τεχνητή νοημοσύνη ; Μηχανική μάθηση ; Νευρωνικά δίκτυα ; NLP ; Πρόβλεψη τιμών μετοχών ; Οικονομικός κλάδοςAbstract
Predicting stock prices is one of the most researched topics and attracts the interest of many scientists and investors. Accurately predicting stock market returns is a very difficult task due to the volatile and non-linear nature of financial markets. With the advent of Artificial Intelligence (AI) and increased computing capabilities, many algorithms have been used to predict stock market movement. The combined application of machine learning (ML) algorithms and statistics is designed to predict the stock price the next day or to understand the long-term market in the future. The purpose of this paper is to investigate the different techniques used to predict stock prices from traditional deep learning and machine learning methods to neural networks and graph-based approaches. Even in this work forecasting techniques have been used to predict the closing price of the next day for five large companies. Finally, it contains a detailed analysis of the techniques used to predict stock prices as well as explores the challenges involved along with the future field of work in the sector.
Postgraduate Studies Programme
ΠληροφορικήDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
92Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα