The paper describes architecture and implementation details of the expert system dedicated for stock exchange data processing, analysis and presentation. The application uses Artificial Neural Networks (ANN) which has been combined with technical and fractal analysis in order to predict future asset prices on stock exchange. It selects companies for prediction and aggregates them. The selection is based on results of Hopfield artificial neural network. Expert system displays a list of companies with the highest expected profit and sorts them in descending order.
CITATION STYLE
Paluch, M., & Jackowska-Strumiłło, L. (2018). Intelligent decision system for stock exchange data processing and presentation. Advances in Intelligent Systems and Computing, 551, 80–90. https://doi.org/10.1007/978-3-319-62120-3_7
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