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Manuel Moura – författare

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3 produkter

  1. Manuel Moura, Rui Neves - Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies, Inbunden. Tillgänglighet: Lägg i varukorg

    Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies

    Av Manuel Moura, Rui Neves

    Inbunden, 2024

    1529 kr

    Lägg i varukorg

    This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models is meticulously constructed, incorporating four distinct algorithms: support vector machine, …

  2. Rui Neves, Manuel Moura - Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies, E-bok. Tillgänglighet: Lägg i varukorg

    Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies

    Av Rui Neves, Manuel Moura

    E-bok, 2024

    1956 kr

    Lägg i varukorg

    This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models is meticulously constructed, incorporating four distinct algorithms: support vector machine, …

  3. Manuel Moura, Rui Neves - Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies, Häftad. Tillgänglighet: Lägg i varukorg

    Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies

    Av Manuel Moura, Rui Neves

    Häftad, 2025

    1529 kr

    Lägg i varukorg

    This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models is meticulously constructed, incorporating four distinct algorithms: support vector machine, …