Entity: Universitat Rovira i Virgili (URV)
Confidenciality: No
Education area(s): Direcció d'Empreses
Title in different languages: Optimisation of trading strategies through neural networks
Abstract: The automation of trading strategies, especially in the field of cryptocurrencies, has become an increasingly common practice in recent times, due to the amount of data available to make a price prediction, allowing a very large diversity of strategies, increasingly, supported by artificial intelligence, more specifically, neural networks in order to better specify these predictions. In this TFM, a study is carried out that brings together the different strategies studied at the academic level and implements the most appropriate one by means of a trading bot. This bot not only uses these strategies, but also considers interactions on Twitter and Google trends to optimize trading strategies.
Subject: Criptomoneda
Academic year: 2023-2024
Language: spa
Work's public defense date: 2024-06-17
Subject areas: Economic and business sciences
Student: Arrabal Izquierdo, Óscar
Work's codirector: Fabregat Aibar, Laura
Department: Gestió d'Empreses
Creation date in repository: 2024-10-03
Keywords: Cryptocurrency, neuronal network, forecasting
Title in original language: Optimización de estrategias de trading a través de redes neuronales
Access Rights: info:eu-repo/semantics/openAccess
Project director: Fernández Bariviera, Aurelio
Repositori URV