Cryptocurrency Price Prediction and Analysis

Baviskar, Vishal Shekhar; D., Radha; Sankari, S S Uma

doi:10.1109/icccnt56998.2023.10308332

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2023

DOI: 10.1109/icccnt56998.2023.10308332

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Cryptocurrency Price Prediction and Analysis

Vishal Shekhar Baviskar,

Radha D.,

S S Uma Sankari

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2024

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A Research: Investigation of Financial Applications with Blockchain Technology

Mohammed,

Türk

2024

Hittite Journal of Science and Engineering

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Cryptocurrencies have revolutionized the financial landscape by providing decentralized and anonymous payment systems, making them an intriguing subject for investors and researchers. This article delves into applying machine learning techniques for predicting cryptocurrency prices, mainly focusing on Bitcoin, Ethereum, and Binance Coin. Employing a range of machine learning models, including XGBoost, Linear Regression, and Gaussian Processes, the study aims to evaluate their predictive performance comprehensively. The results are promising; our models outperform existing studies, achieving impressively low RMSE values of 0.0040 for Bitcoin, 0.028 for Ethereum, and 0.027 for Binance Coin. These findings contribute valuable insights into the volatility and dynamics of cryptocurrency prices and underscore the potential of machine learning in shaping financial decision-making. Future directions include integrating advanced deep learning models, additional data sources, and ensemble methods to enhance prediction accuracy and robustness.

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A Research: Investigation of Financial Applications with Blockchain Technology

Mohammed,

Türk

2024

Hittite Journal of Science and Engineering

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Cryptocurrency Price Prediction and Analysis

Cited by 1 publication

References 12 publications

A Research: Investigation of Financial Applications with Blockchain Technology

A Research: Investigation of Financial Applications with Blockchain Technology

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