Algoritmic Crypto Trading Utilizing Rule-Based and Machine Learning Approaches – Nadzeya Torunlar
Nadzeya Torunlar
Master's thesis
Algoritmic Crypto Trading Utilizing Rule-Based and Machine Learning Approaches
ALGORITMIC CRYPTO TRADING USING RULE BASED AND MACHINE LEARNING APPROACHES
Abstract:
Algorithmic trading is a popular approach for professional traders to increase their profitability and beat the markets. According to Yahoo Finance, algorithmic trading accounts for more than half of the overall US stock market trading and a large yearly growth is forecasted within the next decade. Similarly, algorithmic trading is growing in the crypto trading as well. Thanks to the easiness of reaching …moreAbstract:
Algorithmic trading is a popular approach for professional traders to increase their profitability and beat the markets. According to Yahoo Finance, algorithmic trading accounts for more than half of the overall US stock market trading and a large yearly growth is forecasted within the next decade. Similarly, algorithmic trading is growing in the crypto trading as well. Thanks to the easiness of reaching …more
Language used: English
Date on which the thesis was submitted / produced: 30. 4. 2023
Identifier:
https://vskp.vse.cz/eid/89333
Thesis defence
- Date of defence: 2023
- Supervisor: František Sudzina
- Reader: Radomír Perzina
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
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Institution archiving the thesis and making it accessible: Vysoká škola ekonomická v Prazehttps://vskp.vse.cz/eid/89333
Vysoká škola ekonomická v Praze
Master programme:
Information Systems Management
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