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 always a questi...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2022-06-01
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| Serie: | Journal of Electrical Systems and Information Technology |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s43067-022-00054-1 |
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