The Forecasting About Bitcoin and Other Digital Currency Markets: The Effects of Data Mining and Other Emerging Technologies

Bhuyan, Anil Kumar; Naik, Darshana A.; Sharma, Sachin; Gehlot, Anita; Jafersadhiq, A.; Kapila, Dhiraj

doi:10.1109/icacite57410.2023.10183141

Cited by 2 publications

(1 citation statement)

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“…These studies together highlight ongoing advancements in utilizing machine learning and deep learning models to enhance the precision of cryptocurrency price predictions. Hamayel and Owda presented a model utilizing bi-LSTM, LSTM, GRU, and machine learning algorithms, as documented in [10] and [23]. Their research introduces innovative methodologies, aiming to forecast crucial decision points for buying or selling cryptocurrencies.…”

Section: Literature Reviewmentioning

confidence: 99%

Unveiling Ethereum’s Future: LSTM-Based Price Prediction and a Systematic Blockchain Analysis

Likhitha,

Raj,

Ul Islam

2023

E3S Web Conf.

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Cryptocurrency has emerged as a revolutionary innovation that has been replacing traditional finances and enthralling the worldwide technology landscape. This has gained a lot of popularity worldwide for its potential to enable peer-to-peer transactions and offer opportunities for investment and novelty. Nevertheless, it gives rise to issues concerning regulatory adherence, instability, and security apprehensions, turning them into a topic of continuous evaluation and investigation within the fields of finance and technology. This research paper presents a comprehensive exploration of the historical evolution of “Ethereum” as one of the leading blockchain platforms, with a primary focus on price prediction using a long-short-term memory (LSTM) machine learning model. The study includes various critical aspects of Ethereum, starting from its historical evolution to its potential future scope in scaling solutions and payments, and also covering the insights of Ethereum’s tokenomics, utility, and beyond. In addition, the methodology involves using the LSTM model to analyze data from Ethereum. The accuracy of price predictions is assessed by evaluating error metrics and further improved by visualizing the data through graphs that show indicators. This paper gives an in-depth perspective for anyone who is seeking a holistic understanding of cryptocurrencies, mainly concentrated on Ethereum, and also provides valuable guidance to investors, developers, and enthusiasts, encouraging them to make knowledgeable decisions in the everchanging blockchain ecosystem.

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Section: Literature Reviewmentioning

confidence: 99%