Stock Exchange Trading Using Grid Pattern Optimized by a Genetic Algorithm with Speciation: The Case of S&p 500, Martins Tiago, Neves Rui

Автор: Kapoor Vivek, Dey Shubhamoy
Название: Genetic Algorithms and Applications for Stock Trading Optimization
ISBN: 1799841057 ISBN-13(EAN): 9781799841050
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 35897.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system.

Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.

Автор: Kapoor Vivek, Dey Shubhamoy
Название: Genetic Algorithms and Applications for Stock Trading Optimization
ISBN: 1799870774 ISBN-13(EAN): 9781799870777
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 27166.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system.

Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.