In the current paper we present the application of our Gene Expression Programming
Environment in forecasting Euro-United States Dollar exchange rate. Specifically, using the …

There is a great need for accurate predictions of foreign exchange rates. Many industries
participate in foreign exchange scenarios with little idea where the exchange rate is moving …

Abstract In recent years, Artificial Intelligence (AI) methods have proven to be successful
tools for forecasting in the sectors of business, finance, medical science and engineering. In …

Gene expression programming (GEP) is a new evolutionary algorithm based on genotype
and phenotype, which is commonly used in network optimisation and prediction. Aiming at …

In this paper, a new Gene Expression Programming (GEP) algorithm is proposed, which
increase “inverted series” and “extract” operator. The new algorithm can effectively increase …

This paper applies a Gene Expression Programming (GEP) algorithm to the task of
forecasting and trading the SPDR Down Jones Industrial Average (DIA), the SPDR S&P 500 …

The purpose of this article is to present a novel genetic programming trading technique in
the task of forecasting the next day returns when trading the EUR/USD exchange rate based …

Abstract In recent years, Artificial Intelligence (AI) methods have proven to be successful
tools for forecasting in the sectors of business, finance, medical science and engineering. In …

A collective approach to the problem of developing forecasts for macroeconomic indicators
is presented in the paper. The main advantage of genetic programming over artificial neural …

The use of intelligent systems for stock market predictions has been widely established. In
this paper, we introduce a genetic programming technique (called multi-expression …