Forex market forecasting with two-layer stacked Long Short-Term Memory neural network (LSTM) and correlation analysis

Forex market forecasting with two-layer stacked Long Short-Term Memory neural network (LSTM) and correlation analysis

Abstract Since it is one of the world's most significant financial markets, the foreign exchange (Forex) market has attracted a large number of investors. Accurately anticipating the forex trend has remained a popular but difficult issue to aid Forex traders' trading decisions. It is alway...

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Bibliographic Details
Main Authors: Michael Ayitey Junior, Peter Appiahene, Obed Appiah
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:Journal of Electrical Systems and Information Technology
Subjects:
Forex
Time series
Neural network
Stacked LSTM
Hurst exponent
Correlation analysis
Online Access:https://doi.org/10.1186/s43067-022-00054-1

Internet

https://doi.org/10.1186/s43067-022-00054-1

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