Genetic Algorithms and Applications for Stock Trading Optimization

Genetic Algorithms and Applications for Stock Trading Optimization
Author :
Publisher : IGI Global
Total Pages : 262
Release :
ISBN-10 : 9781799841067
ISBN-13 : 1799841065
Rating : 4/5 (065 Downloads)

Book Synopsis Genetic Algorithms and Applications for Stock Trading Optimization by : Kapoor, Vivek

Download or read book Genetic Algorithms and Applications for Stock Trading Optimization written by Kapoor, Vivek and published by IGI Global. This book was released on 2021-06-25 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Genetic Algorithms and Applications for Stock Trading Optimization Related Books

Genetic Algorithms and Applications for Stock Trading Optimization
Language: en
Pages: 262
Authors: Kapoor, Vivek
Categories: Computers
Type: BOOK - Published: 2021-06-25 - Publisher: IGI Global

GET EBOOK

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
Genetic Algorithms and Investment Strategies
Language: en
Pages: 324
Authors: Richard J. Bauer
Categories: Business & Economics
Type: BOOK - Published: 1994-03-31 - Publisher: John Wiley & Sons

GET EBOOK

When you combine nature's efficiency and the computer's speed, thefinancial possibilities are almost limitless. Today's traders andinvestment analysts require f
Genetic Algorithms and Genetic Programming in Computational Finance
Language: en
Pages: 491
Authors: Shu-Heng Chen
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. Genetic Algorithms an
Genetic Algorithms in Applications
Language: en
Pages: 332
Authors: Rustem Popa
Categories: Computers
Type: BOOK - Published: 2012-03-21 - Publisher: BoD – Books on Demand

GET EBOOK

Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems
Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation
Language: en
Pages: 68
Authors: Tiago Martins
Categories: Technology & Engineering
Type: BOOK - Published: 2021-07-08 - Publisher: Springer Nature

GET EBOOK

This book presents a genetic algorithm that optimizes a grid template pattern detector to find the best point to trade in the SP 500. The pattern detector is ba