£198.00

Genetic Algorithms and Applications for Stock Trading Optimization (Advances in Computational Intelligence and Robotics)

Stocks & Shares

Price data last checked 45 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

It has never been this cheap. We have no record of a lower price.

£198 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 46 days · 46 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 46 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £198 (25 days, 54.3%)

Price range: £198 - £207

Price levels: 2 different prices over 46 days

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. About the Author 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.

Product Specifications

Format: hardcover
ASIN: 1799841057
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Investments & Securities > Stocks & Shares
Domain: Amazon UK
Release Date: 25 June 2021
Listed Since: 02 July 2021

Barcode

No barcode data available

Genetic Algorithms and Applications for Stock Trading Optimization (Advances in Computational Intelligence and Robotics)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Genetic Algorithms and Applications for Stock Trading Optimization

Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization

Genetic Algorithms for Machine Learning

Applied Genetic Programming and Machine Learning (CRC Press International Series on Computational Intelligence)

Symbolic Regression

Genetic Algorithm Essentials: 679 (Studies in Computational Intelligence, 679)

Natural Computing in Computational Finance: Volume 3: 293 (Studies in Computational Intelligence, 293)

Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation: The Case of S&P 500 (SpringerBriefs in Applied Sciences and Technology)

Artificial Intelligence for Financial Markets: The Polymodel Approach (Financial Mathematics and Fintech)

Artificial Intelligence for Financial Markets: The Polymodel Approach (Financial Mathematics and Fintech)

Python for Algorithmic Trading: From Idea to Cloud Deployment

Genetic Systems Programming: Theory and Experiences: 13 (Studies in Computational Intelligence, 13)

Soft Computing for Problem Solving: SocProS 2017, Volume 1: 816 (Advances in Intelligent Systems and Computing, 816)

Day Trade With AI: Theoretical foundations for discretionary, algorithmic, and diversified trading with AI

Springer EVOLVE III: Probability and Evolutionary Computation

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Springer - Fundamentals of Computational Intelligence 652

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III: 500 (Studies in Computational Intelligence, 500)

Springer Genetic Programming for Image Classification Book

Genetic Algorithms and Genetic Programming in Computational Finance

Genetic Algorithms in Java Basics

Machine Learning in the Analysis and Forecasting of Financial Time Series

Evolutionary Algorithms and Neural Networks: Theory and Applications: 780 (Studies in Computational Intelligence, 780)

Econophysics of Stock and other Markets: Proceedings of the Econophys-Kolkata II (New Economic Windows)