Rui Neves – författare
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9 produkter
Financial Data Resampling for Machine Learning Based Trading
Application to Cryptocurrency Markets
Av Tomé Almeida Borges, Rui Neves
Häftad, 2021
714 kr
Lägg i varukorg
This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical …
Financial Data Resampling for Machine Learning Based Trading
Application to Cryptocurrency Markets
Av Rui Neves, Tome Almeida Borges
E-bok, 2021
897 kr
Lägg i varukorg
This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical …
Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation
The Case of S&P 500
Häftad, 2021
735 kr
Lägg i varukorg
This book presents a genetic algorithm that optimizes a grid template pattern detector to find the best point to trade in the SP 500. The pattern detector is based on a template using a grid of weights with a fixed size. The template takes in consideration not only the closing price but also the …
Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation
The Case of S&P 500
E-bok, 2021
923 kr
Lägg i varukorg
This book presents a genetic algorithm that optimizes a grid template pattern detector to find the best point to trade in the SP 500. The pattern detector is based on a template using a grid of weights with a fixed size. The template takes in consideration not only the closing price but also the …
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies
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, …
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies
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, …
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies
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, …
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
Av João Baúto, Rui Neves m. fl.
Häftad, 2018
567 kr
Lägg i varukorg
This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable …
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
Av Nuno Horta, Rui Neves m. fl.
E-bok, 2018
718 kr
Lägg i varukorg
This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable …