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http://dspace.univ-guelma.dz/jspui/handle/123456789/15030
Title: | Un système basé sur l’apprentissage automatique pour la prédiction de la valeur des cryptomonnaies |
Authors: | Ounadi, Fouad |
Keywords: | Cryptocurrency, Bitcoin, Indicators, MLP, RSI |
Issue Date: | 2023 |
Publisher: | University of Guelma |
Abstract: | iii ABSTRACT Cryptocurrencies have indeed experienced growing interest and popularity in recent years as digital assets independent of central banking institutions. In our re- search and development of our model, we have primarily focused our efforts on pre- dicting the price of Bitcoin, the flagship and most widely recognized cryptocurrency. We have tried several models trained on different datasets and economic and finan- cial indicators, and the best results were obtained using an MLP (Multi-Layer Percep- tron) model trained on a database containing various variations of the RSI (Relative Strength Index) economic indicator calculated over four different periods. |
URI: | http://dspace.univ-guelma.dz/jspui/handle/123456789/15030 |
Appears in Collections: | Master |
Files in This Item:
File | Description | Size | Format | |
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OUNADI_FOUAD_F5.pdf | 1,29 MB | Adobe PDF | View/Open |
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