Genetic Algorithms and Applications for Stock Trading Optimization
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Genetic Algorithms and Applications for Stock Trading Optimization

Vivek Kapoor (Devi Ahilya University, Indore, India) and Shubhamoy Dey (Indian Institute of Management, Indore, India)
Release Date: June, 2021|Copyright: © 2021 |Pages: 262
DOI: 10.4018/978-1-7998-4105-0
ISBN13: 9781799841050|ISBN10: 1799841057|EISBN13: 9781799841067|ISBN13 Softcover: 9781799870777
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Biologically Inspired Algorithms
  • Chaos Theory
  • Expert Systems
  • Fuzzy Logic
  • Genetic Algorithms
  • Investment Strategies
  • Nature-Inspired Algorithms
  • Neural Networks
  • Search Optimization
  • Stock Trading Systems
  • Synergistic Market Analysis
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Editor Biographies
Shubhamoy Dey is a professor of information systems at Indian Institute of Management Indore, India. He completed his Ph. D from the School of Computing, University of Leeds, UK, and Master of Technology from Indian Institute of Technology (IITKharagpur). He specializes in Data Mining and has 25 years of research, consulting and teaching experience in UK, USA and India.
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