Treballs Fi de MàsterGestió d'Empreses

Optimisation of trading strategies through neural networks

  • Identification data

    Identifier:  TFM:1805
    Authors:  Arrabal Izquierdo, Óscar
    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.
  • Others:

    Entity: Universitat Rovira i Virgili (URV)
    Confidenciality: No
    Student: Arrabal Izquierdo, Óscar
    Education area(s): Direcció d'Empreses
    Work's codirector: Fabregat Aibar, Laura
    Department: Gestió d'Empreses
    Creation date in repository: 2024-10-03
    Subject: Criptomoneda
    Academic year: 2023-2024
    Work's public defense date: 2024-06-17
    Access Rights: info:eu-repo/semantics/openAccess
    Project director: Fernández Bariviera, Aurelio
  • Keywords:

    Cryptocurrency
    neuronal network
    forecasting
    Economic and business sciences
  • Documents:

  • Cerca a google

    Search to google scholar