Predicting prices on Ethereum

• Main Author: Amir Izzat Aziem Mohd Azizan
• Format: Academic Exercise
• Language: English; English
• Published: 2022
• Subjects: QA76.75-76.765 Computer software
• Online Access: https://eprints.ums.edu.my/id/eprint/33342/1/PREDICTING%20PRICES%20ON%20ETHEREUM.24pages.pdf; https://eprints.ums.edu.my/id/eprint/33342/2/PREDICTING%20PRICES%20ON%20ETHEREUM.pdf; https://eprints.ums.edu.my/id/eprint/33342/

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.