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

fYear

2015

fDate

25-27 June 2015

Firstpage

238

Lastpage

243

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions (HSI), 2015 8th International Conference on

Conference_Location

Warsaw

Type

conf

DOI

10.1109/HSI.2015.7170673

Filename

7170673