Title :
Intelligent information system for stock exchange data processing and presentation
Author :
Paluch, Michal ; Jackowska-Strumillo, Lidia
Author_Institution :
Inst. of Appl. Comput. Sci., Lodz Univ. of Technol., Lodz, Poland
Abstract :
The paper describes the architecture of the information expert system designed and dedicated to stock exchange data processing, analyzing and presentation. The system uses Artificial Neural Networks (ANN) combined with technical analysis and fractal analysis to predict future price of stock exchange assets. It also enables selection of companies, which assets will be increased. The selection of companies is based on comparing algorithms implementing Hopfield network. The system displays a list of the companies with the highest expected profit sorted in descending order.
Keywords :
Hopfield neural nets; expert systems; information systems; stock markets; ANN; Hopfield network; artificial neural networks; fractal analysis; information expert system; intelligent information system; price prediction; stock exchange assets; stock exchange data processing; technical analysis; Algorithm design and analysis; Artificial neural networks; Companies; Fractals; Prediction algorithms; Share prices; Stock markets; Hopfield Network; Spring framwork; artificial neural networks; expert system; fractal analysis; multilayer perceptron; technical analysis;
Conference_Titel :
Human System Interactions (HSI), 2015 8th International Conference on
Conference_Location :
Warsaw
DOI :
10.1109/HSI.2015.7170673
