Within the last few decades, copper has been identified as one of the most applicable metals by many researchers. These researchers have also been enthusiastic to predict the price of this valuable metal. These days, the available technical analysis methods have been highly applied in the financial markets. Moreover, the researchers have used these methods to predict the suitable price tr...

The article is focused on an analysis and pattern recognition in time series, which are fractal in nature. The proposal methodology is based on an interdisciplinary approach that combines artificial neural networks, analytic programming, Elliott wave theory and knowledge modelling. The heart of the methodology are a methods, which is able to recognize Elliott waves structures including their de...

In this paper we introduce our method that is able to analyze and recognize Elliott waves in time series. Our method uses an artificial neural network that is adapted by backpropagation. Neural network uses Elliot wave’s patterns in order to extract them and recognize. Artificial neural networks are suitable for pattern recognition in time series mainly because of learning only from examples. T...

This paper presents a joint review on professional technical analysis and academic quantitative analysis of the financial markets, aiming at bridging the deep gulf between the two fields and unifying them under a general science of intelligent finance or financial intelligence. While econometricians and econophysicians have recently reexamined technical analysis, most of their effort is focused...

Elliott Ross grew up in Stockton, California. He earned a B.Sc. degree at the University of California at Davis and a Ph.D. with Jeff Schatz at Cornell. He did postdoctoral research with Al Gilman at the University of Virginia and remained on the faculty there for three years. He then moved to the University of Texas Southwestern Medical Center in Dallas, where he is a member of the Graduate Pr...