An Intelligent System for Trading Signal of Cryptocurrency Based on Market Tweets Sentiments

Man-Fai Leung (), Lewis Chan, Wai-Chak Hung, Siu-Fung Tsoi, Chun-Hin Lam and Yiu-Hang Cheng
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Man-Fai Leung: School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge CB1 1PT, UK
Lewis Chan: School of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong 999077, China
Wai-Chak Hung: School of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong 999077, China
Siu-Fung Tsoi: School of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong 999077, China
Chun-Hin Lam: School of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong 999077, China
Yiu-Hang Cheng: School of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong 999077, China

FinTech, 2023, vol. 2, issue 1, 1-17

Abstract: The purpose of this study is to examine the efficacy of an online stock trading platform in enhancing the financial literacy of those with limited financial knowledge. To this end, an intelligent system is proposed which utilizes social media sentiment analysis, price tracker systems, and machine learning techniques to generate cryptocurrency trading signals. The system includes a live price visualization component for displaying cryptocurrency price data and a prediction function that provides both short-term and long-term trading signals based on the sentiment score of the previous day’s cryptocurrency tweets. Additionally, a method for refining the sentiment model result is outlined. The results illustrate that it is feasible to incorporate the Tweets sentiment of cryptocurrencies into the system for generating reliable trading signals.

Keywords: intelligent system; cryptocurrency; trading signal; sentiment analysis; machine learning (search for similar items in EconPapers)
JEL-codes: C6 F3 G O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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