Amanote Research

Amanote Research

    RegisterSign In

Genetic Algorithm Application for Trading in Market Toward Stable Profitable Method

doi 10.5772/36416
Full Text
Open PDF
Abstract

Available in full text

Date

March 21, 2012

Authors
Tomio Kurokawa
Publisher

InTech


Related search

Profitable Momentum Trading Strategies for Individual Investors

Financial Markets and Portfolio Management
2015English

Localization Algorithm for WSN Application Using Genetic Algorithm

International Journal of Engineering Research and
2015English

How Profitable Are FX Technical Trading Rules?

International Review of Financial Analysis
EconomicsFinanceEconometrics
2016English

Application of Taguchi Method and Genetic Algorithm for Calibration of Soil Constitutive Models

Journal of Applied Mathematics
Applied Mathematics
2013English

Application of Representation and Fitness Method of Genetic Algorithm for Class Scheduling System

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Could Market Making Be Profitable in the European Carbon Market?

Energy Journal
EnergyEconomicsEconometrics
2019English

Deep Learning for Stock Market Trading: A Superior Trading Strategy?

Neural Network World
HardwareNeuroscienceArchitectureArtificial IntelligenceSoftware
2019English

Stable Fuzzy Controller Design for Uncertain Nonlinear Systems: Genetic Algorithm Approach

English

Application of Genetic Algorithm and Simulated Annealing Algorithm for Course Scheduling Problem

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy