Abstract

The methods of detecting economic problems at different levels are focused in this study with comments on their restrictions and shortcomings. A common analysis scheme is offered, using artificial intelligence systems - neuron networks, where the available patterns could be integrated and supplemented. A pattern is proposed to study the market index development and to analyze any potential collapses, which was tested to analyze the SOFIX index under the capital market conditions in Bulgaria.