Please use this identifier to cite or link to this item: 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
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