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Books > Business & Economics > Finance & accounting > Finance > Investment & securities
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Genetic Algorithms and Applications for Stock Trading Optimization (Hardcover)
Loot Price: R7,039
Discovery Miles 70 390
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Genetic Algorithms and Applications for Stock Trading Optimization (Hardcover)
Expected to ship within 10 - 15 working days
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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.
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