Predicting prices on Ethereum

Amir Izzat Aziem Mohd Azizan (2022) Predicting prices on Ethereum. Universiti Malaysia Sabah. (Unpublished)

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Abstract

Cryptocurrencies are quickly becoming one of the world's most important investment focus areas. People could become wealthy than ever before by investing in cryptocurrencies. Individuals who lack basic financial knowledge, on the other hand, risk losing all of their money in the matter of seconds. It is the outcome of dramatic price graph changes in the bitcoin market. Technical innovation, internal competition, market pressure to deliver, economic obstacles, security concerns, and political issues all have an impact on cryptocurrency pricing. These are the present limitations of the cryptocurrency market. Prophet forecast and Long-Short Term Memory Neural Network (LSTM) are the project's candidates. The datasets that are utilised are those derived from any cryptocurrency historical data that are used to test the prediction of the model that are developed for this project. The model that are implemented into the web application for user testing are the best fit. All the testing and result are conducted by functionality test case and integration test case.

Item Type:	Academic Exercise
Keyword:	cryptocurrency , Ethereum , Deep learning model
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	DG MASNIAH AHMAD -
Date Deposited:	18 Jul 2022 19:58
Last Modified:	18 Jul 2022 19:58
URI:	https://eprints.ums.edu.my/id/eprint/33342

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