Intelligent Financial Portfolio Composition
Based on Evolutionary Computation Strategies
António M. S. B. S. Gorgulho
Rui F. M. F. Neves • Nuno C. G. Horta
The goal of this work is to provide an application which tries to replace those specialists in order to help an investor or an investment company to achieve a significant profit on buying and selling (trading) financial instruments. In order to apply such procedures we need to believe that the historical data related to stocks and markets form appropriated indications about the market future performance. This premise constitutes the basis of Technical Analysis which simply tries to analyze the securities past performance in order to evaluate these investments at the present time. This philosophy relies on three bases: (1) the fact that market action discounts everything; (2) the fact that price moves in trends; and (3) that history tends to repeat itself. These considerations allow us, through the study of charts and financial data, recognizing which way the market is most likely to go.