加密货币市场分析的未来:社交媒体数据和用户元数据

IF 0.8 Q2 MATHEMATICS Lobachevskii Journal of Mathematics Pub Date : 2024-07-19 DOI:10.1134/s1995080224600717
Samyak Jain, Sarthak Johari, Radhakrishnan Delhibabu
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引用次数: 0

摘要

摘要 加密货币是一种数字货币,它在分散系统中使用加密技术进行安全的点对点交易。与传统支付方式相比,加密货币因其交易快捷、方便和安全而越来越受欢迎。社交媒体具有重要的影响力,但它也非常不稳定,会受到其他各种因素的影响。因此,面对社交媒体上超过 40 亿的活跃用户,我们需要了解它对加密货币市场的影响,以及它如何导致这些加密货币价值的波动。在我们的工作中,我们分析了 Twitter 上活动的影响,尤其是发布的有关加密货币的推文的情绪,以及它们如何影响其价格。此外,我们还收集了与推文和用户相关的元数据。我们试图利用这些特征来预测加密货币的价格,为此我们使用了一些基于回归的模型和一个基于 LSTM 的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The Future of Cryptocurrency Market Analysis: Social Media Data and User Meta-Data

Abstract

Cryptocurrency is a form of digital currency using cryptographic techniques in a decentralized system for secure peer-to-peer transactions. It is gaining much popularity over traditional methods of payment because it facilitates very fast, easy, and secure transactions. Social media is a significant influence, but it is also very volatile and subject to a variety of other factors. Thus, with over four billion active users on social media, we need to understand its influence on the crypto market and how it can lead to fluctuations in the values of these cryptocurrencies. In our work, we analyze the influence of activities on Twitter, in particular the sentiments of the tweets posted regarding cryptocurrencies and how they influence their prices. In addition, we also collect metadata related to tweets and users. We try to leverage these features to predict the price of cryptocurrency, for which we use some regression-based models and an LSTM-based model.

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来源期刊
CiteScore
1.50
自引率
42.90%
发文量
127
期刊介绍: Lobachevskii Journal of Mathematics is an international peer reviewed journal published in collaboration with the Russian Academy of Sciences and Kazan Federal University. The journal covers mathematical topics associated with the name of famous Russian mathematician Nikolai Lobachevsky (Lobachevskii). The journal publishes research articles on geometry and topology, algebra, complex analysis, functional analysis, differential equations and mathematical physics, probability theory and stochastic processes, computational mathematics, mathematical modeling, numerical methods and program complexes, computer science, optimal control, and theory of algorithms as well as applied mathematics. The journal welcomes manuscripts from all countries in the English language.
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