Πρόβλεψη μετοχών χρηματιστηρίου με τη χρήση τεχνητής νοημοσύνης
Prediction of stock market stocks using artificial intelligence
Master Thesis
Author
Πατεράκης, Κωνσταντίνος Ανδρούτσος
Paterakis, Konstantinos Androutsos
Date
2021-12Advisor
Αλέπης, ΕυθύμιοςAlepis, Efthimios
View/ Open
Keywords
Stock market ; Stocks ; Machine learning ; PredictionAbstract
Stocks are perhaps the most popular financial instrument invented to build wealth and focus on every investment portfolio. In recent decades, there has been an explosive increase in the average person’s interest in the stock market through the ever-accelerating advancement in trading technology. Therefore, today almost anyone can own stocks. In an economically volatile market as the stock market, it is essential to have an accurate forecast for a future trend. However, this accurate prediction of a stock’s price is challenging due to many factors, such as politics, global economic conditions, unexpected events, the financial performance of a company, and so on. These factors, however, also mean that there is a wealth of data available for analysis. In this thesis, we will try to predict in real-time the stock price of the ten largest companies on the Nasdaq exchange market using data available to the general public from https://finance.yahoo.com, in combination with artificial intelligence models.