Identification of Patterns in the Stock Market through Unsupervised Algorithms

Identification of Patterns in the Stock Market through Unsupervised Algorithms

Making predictions in the stock market is a challenging task. At the same time, several studies have focused on forecasting the future behavior of the market and classifying financial assets. A different approach is to classify correlated data to discover patterns and atypical behaviors in them. In...

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Bibliographic Details
Main Authors: Adrian Barradas, Rosa-Maria Canton-Croda, Damian-Emilio Gibaja-Romero
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Analytics
Subjects:
k-means clustering
stock market
principal component analysis
economic indicators
unsupervised algorithms
financial news
Online Access:https://www.mdpi.com/2813-2203/2/3/33

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https://www.mdpi.com/2813-2203/2/3/33

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