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.
Price: 202 GBP
Location: Gloucester
End Time: 2024-12-24T03:57:43.000Z
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EAN: 9781799870777
UPC: 9781799870777
ISBN: 9781799870777
MPN: N/A
Book Title: Genetic Algorithms and Applications for Stock Trad
Item Length: 25.4 cm
Item Weight: 0.36 kg
Publisher: IGI Global
Publication Year: 2021
Subject: Finance
Item Height: 254 mm
Number of Pages: 315 Pages
Language: English
Publication Name: Genetic Algorithms and Applications for Stock Trading Optimization
Type: Textbook
Author: Vivek Kapoor, Shubhamoy Dey
Item Width: 178 mm
Format: Paperback