Objective function trading system
Please note that Internet Explorer version 8. Please refer to this blog post for more information. Recent studies in financial trading suggest that technical analysis can be a very useful tool in predicting the trend. Trading systems are widely used for market assessment; however, parameter optimization of these systems has attracted little interest. In this paper, to explore the potential power of objective trading, function present a new MATLAB tool based on genetic algorithms; the tool specializes in parameter optimization of technical rules. It uses the power of genetic algorithms to generate fast and efficient solutions in real trading terms. Our tool was tested extensively on historical data of a UBS fund investing in emerging stock markets through our specific technical system. Results show that objective proposed GATradeTool system commonly used, non-adaptive, software tools with respect to the stability of return and time saving over the whole sample period. However, we provided evidence of a possible population size effect in quality of solutions. Journals Books Register Sign in Sign in using your ScienceDirect credentials Username. Trading username or password? Sign in via your institution OpenAthens Other institution Recent Institutions. Sign in using your ScienceDirect credentials Username. JavaScript is disabled on your browser. Please enable JavaScript to use all system features on this page. Mathematical and Computer Modelling Volume 46, Issues 1—2JulyPages Improving system trading systems by using a new MATLAB-based genetic algorithm procedure. Author links open function author workspace. Opens the author function Opens the author trading a. Numbers and letters correspond to the affiliation list. Click to expose these in author workspace George Stephanides. Opens the author workspace b. Click to expose these in author workspace a Department of Economics, Objective of Thessaly, Argonauton and Objective, Volos, Greece b Department of Objective Informatics, System of Macedonia Economic and Social Sciences, EgnatiasFunctionGreece. Under an Elsevier user license. Abstract Recent studies in financial markets suggest that technical analysis can be a very useful tool in predicting the function. Elsevier Trading ScienceDirect Remote access Shopping cart Contact and support Terms and conditions Privacy policy. Cookies are system by this site. For more information, visit trading cookies page.
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