ПОВОРОТ СИСТЕМЫ КООРДИНАТ ПРИ ПРИМЕНЕНИИ МЕТОДА МНОГОМЕРНОГО ШКАЛИРОВАНИЯ В СРАВНИТЕЛЬНОМ ИССЛЕДОВАНИИ КОТИРОВОК БИРЖЕВЫХ ИНСТРУМЕНТОВ

Abstract:
The purpose of this article is to demonstrate, using the example of a comparative study of stock market instrument quotations, an algorithm for matching the representation of information describing time-varying events for artificial intelligence and humans. The components of the algorithm are: the construction of several multidimensional scaling graphs resulting from the rotation of a single coordinate system; comparison of graphs and comparison of information in different ways of its representation, which became possible due to the equality of time intervals between points and the same identification of the dates of the points of the compared graphs; additional graphical constructions around one point (with a spot date), but on different charts when forecasting quotes of stock instruments. The scientific novelty of the research results lies in substantiating the methodological expediency of choosing an unconventional unit of time measurement in a comparative study of stock exchange instrument quotations to manage the risk of reducing the explicitness of artificial intelligence solutions and increasing the informative value of graphs with multidimensional scaling. The prospects of practical application of the algorithm, which go beyond the boundaries of the subject field of research, are submitted by the authors of the article for interdisciplinary discussion.