预测加密货币汇率的算法,考虑了一群名人在社交网络上的帖子的影响力

P. Bidyuk, Olena Gavrilenko, Mykhailo Myagkyi
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引用次数: 0

摘要

本文提出了一种算法,用于预测选定加密货币的比率,考虑到特定社交网络中一群名人的帖子。被选为专家的名人,即研究其在社交网络上发布的帖子的知名人士,要么熟悉金融行业,特别是加密货币市场,要么熟悉某些加密货币。所使用的数据集是在所选时间段内所讨论的加密货币的实际比率以及所选社交网络中专家职位的统计数据。本研究采用了全概率公式和贝叶斯公式等方法。研究发现,名人在社交媒体上的帖子对加密货币汇率的影响不同。“主要”专家被确定,他的帖子被用来预测所选加密货币的汇率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The algorithm for predicting the cryptocurrency rate taking into account the influence of posts of a group of famous people in social networks
This article presents an algorithm for predicting the rate of a selected cryptocurrency, taking into account the posts of a group of famous people in a particular social network. The celebrities chosen as experts, i.e., famous personalities whose posts on social networks were studied, are either familiar with the financial industry, particularly the cryptocurrency market, or some cryptocurrency. The dataset used was the actual rates of the cryptocurrency in question for the selected period and the statistics of expert posts in the selected social network. The study used methods such as the full probability formula and the Bayesian formula. It was found that posts by famous people on social media differently affected cryptocurrency rates. The “main” expert was identified, and his posts were used to forecast the selected cryptocurrency’s rate.
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