Genetic Algorithms and Applications for Stock Trading Optimization is popular PDF and ePub book, written by Kapoor, Vivek in 2021-06-25, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Genetic Algorithms and Applications for Stock Trading Optimization can be Read Online from any device for your convenience.
Genetic Algorithms and Applications for Stock Trading Optimization Book PDF Summary
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.
Detail Book of Genetic Algorithms and Applications for Stock Trading Optimization PDF
- Author : Kapoor, Vivek
- Release : 25 June 2021
- Publisher : IGI Global
- ISBN : 9781799841067
- Genre : Computers
- Total Page : 262 pages
- Language : English
- PDF File Size : 11,8 Mb
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