Kapoor Vivek, Dey Shubhamoy. Genetic Algorithms and Applications for Stock Trading Optimization

IGI Global, 2021. — xii+262 p. — ISBN13: 9781799841050; ISBN10: 1799841057.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 systems.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.Genetic Algorithms, Neural Networks, and Chaos Theory
Introduction to Expert Systems, Fuzzy Logic, Neural Networks, and Chaos Theory.
Introduction to Biologically Inspired Algorithms.
Introduction to Genetic Algorithms in Search and Optimization.
Genetic Algorithms (GAs) and Their Mathematical Foundations.
Genetic Algorithms Theory and its Working
Genetic Algorithm (GA) Methodology and Its Internal Working.
Understanding Genetic Algorithm (GA) Operators Step-by-Step.
Operator Control Parameters and Fine Tuning of Genetic Algorithms (GAs).
Advance GA Operators and Techniques in Search and Optimization.
Genetic Algorithms in Finance
Genetic Algorithms (GAs) and Stock Trading Systems.
Synergistic Market Analysis, Technical Analysis, and Various Indicators.
Using Genetic Algorithms to Develop Investment Strategies.
Developing a Single Indicator or Multiple Indicator Market Timing System.
Genetic Algorithms in Other Areas
Some Other Applications of Genetic Algorithms (GAs).
Introduction to Some Other Nature-Inspired Algorithms.