Since the appearance of bitcoin, the cryptocurrency market has gradually prospered. The price of cryptocurrency often changes rapidly and fluctuates greatly, which makes many investors rush into the market, ignoring the risk behind it. The price prediction of cryptocurrency can not only provide a reference for investors' investment but also reveal its financial laws to a certain extent and improve the risk early warning mechanism as well as improve its stability and security. In this paper, the KNN algorithm is used to forecast the cryptocurrency price, and the KNN model is improved based on the short-term price trend before the trading day. The experimental results show that the improved KNN model has a more accurate prediction result than the logistic regression model and traditional KNN model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Cryptocurrency price forecasting based on shortterm trend KNN model


    Beteiligte:
    Jiang, Huihai (Autor:in)


    Erscheinungsdatum :

    20.10.2021


    Format / Umfang :

    1045258 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Utility tunnels - longterm investment or shortterm expenses?

    Laistner, A. / Hamburg Messe und Congress (HMC) | British Library Conference Proceedings | 1997



    Sustainable Cryptocurrency Mining

    Horasia, Christopher / Rehman, Naveed / Yap, Max | TIBKAT | 2021

    Freier Zugriff


    Electricity price forecasting of coupled carbon price

    Jin, M. H. / Xing, Y. H. / Wang, B. C. et al. | British Library Conference Proceedings | 2022