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AI in Finance: Transformers applied to multivariate time series forecasting

Authors: Vallejo Carmona, Víctor;

AI in Finance: Transformers applied to multivariate time series forecasting

Abstract

In this project, the exploration and evaluation of transformers as alternatives to long short-term memory (LSTM) technology in multivariate time series analysis in the financial sector isconducted. In summary, this project seeks to develop a thorough comparison between current AI systems fortime series prediction, adding an innovative system that can accurately predict market prices,using transformers and multivariate analysis. The comparison with LSTM technology and thefocus on market sentiment and stock volume as key variables for price prediction make thisproject a significant contribution to the field of Artificial Intelligence applied to finance.

Country
Spain
Related Organizations
Keywords

Informática, Empresa

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green