and nonlinear models when applied to the task of forecasting and trading the daily closing returns of the FTSE100 exchange …

This paper is focused on the concise review of the specific applications of genetic algorithms in forecasting commodity … frequent while forecasting the commodity prices of, for example, crude oil. Moreover, growing interest in their application has … jointly discussed-topics: genetic algorithms, their hybrids with other tools, and commodity price forecasting issues. …

The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand …

This work presents a proposal of usage of genetic algorithm to short-term forecasting of price and volume quotations …

Accurate forecasting of changes in stock market indices can provide financial managers and individual investors with … neural network (CPNN) for the task of forecasting stock closing price indices. We developed a model that uses partial …, establishing that this approach can be adopted as a competent financial forecasting tool. …