J. Zuzik, R. Weiss, M. Antošová Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Košice, Slovakia When trading on capital markets , used are multitude of methods . The intention set out in the pr esent paper is t o analyse pr obability of pr oĀ t of the businessman using selec ted t echnical analy sis indicat ors whilst trading with shares of the globally l...

a r t i c l e i n f o Keywords: Subtractive clustering Adaptive network-based fuzzy inference system Technical indicators Adaptive learning Genetic algorithm Technical analysis is one of the useful forecasting methods to predict the future stock prices. For professional stock analysts and fund managers, how to select necessary technical indicators to forecast stock trends is important. Traditio...

Considerable attention has been devoted to environmental assessment and monitoring, primarily by physical and biological scientists, and more recently by social scientists. However, population growth and global change have resulted in an imperative to assess the resiliency of the environment to adapt to large scale changes and to continue to produce goods and services for future generations (su...

Stock market trends forecast is one of the most current topics and a significant research challenge due to its dynamic unstable nature. The stock data usually non-stationary, attributes are non-correlative each other. Several traditional Technical Indicators (STIs) may incorrectly predict trends. To study characteristics using STIs make efficient trading decisions, robust model built. This pape...