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

Editeur : Springer
Parution : 2024-06-18

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147,69
Télécharger le livre :  Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation
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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...

Editeur : Springer
Parution : 2021-07-08
Collection : SpringerBriefs in Applied Sciences and Technology
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68,56
Télécharger le livre :  Financial Data Resampling for Machine Learning Based Trading
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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...

Editeur : Springer
Parution : 2021-02-22
Collection : SpringerBriefs in Applied Sciences and Technology
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68,56
Télécharger le livre :  Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
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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...

Editeur : Springer
Parution : 2018-02-03
Collection : SpringerBriefs in Applied Sciences and Technology
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52,74