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Gold and Bitcoin Price Dynamics as a Reflection of Investor Sentiment Nataliya Sheludʹko; Oleg Vasiurenko; Vyacheslav Lyashenko; Nadiia Morozova
Journal La Bisecoman Vol. 1 No. 4 (2020): Journal La Bisecoman
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallabisecoman.v1i4.218

Abstract

The modern pandemic affects all areas of human activity. In this regard, various aspects of the preservation of economic activity become fundamental. One of these issues is the choice of an investment strategy, the choice of investment instruments. To do this, we examined the mutual dynamics of gold and bitcoin prices during the pandemic. For the analysis, we use the wavelet coherence methodology. This made it possible to substantiate some strategies and the choice of investment instruments.
Time Series Clustering Based on the K-Means Algorithm Oleg Kobylin; Vyacheslav Lyashenko
Journal La Multiapp Vol. 1 No. 3 (2020): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v1i3.191

Abstract

Time series is one of the forms of data presentation that is used in many studies. It is convenient, easy and informative. Clustering is one of the tasks of data processing. Thus, the most relevant currently are methods for clustering time series. Clustering time series data aims to create clusters with high similarity within a cluster and low similarity between clusters. This work is devoted to clustering time series. Various methods of time series clustering are considered. Examples are given for real data.