Predicting the performance of cryptocurrency market

• Main Author: Tibrewal, Shrey
• Other Authors: Josephine Chong Leng Leng
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Cryptocurrency
• Online Access: https://hdl.handle.net/10356/181203
• Institution: Nanyang Technological University

This project investigates the use of machine learning algorithms to predict fluctuations on the price of cryptocurrency. Cryptocurrencies are virtual currencies which use a decentralized system to record end-to-end secured transactions. As these currencies are not regulated by financial institutions, they are regarded as highly volatile. It is a significant challenge for investors to accurately predict price fluctuations, as cryptocurrencies can be influenced by a number of factors such as demandsupply balance, technology, legal and regulatory, market volatility, and public’s sentiments in news and social media. The objective of this project is to identify the factors influencing cryptocurrency pricing and the major gaps for future research.