Neural network applications in stock market predictions

Neural networks NNsas artificial intelligence AI methods, have become very important in making stock market predictions.

Neural Network Stock Market Prediction -

Much research on the applications of NNs for solving business problems have proven their advantages over statistical and other methods that do not include AI, although there is no optimal methodology for a certain problem. In order to identify the main benefits and limitations of previous methods in NN applications and to find connections between methodology and problem domains, data models, and results obtained, a comparative analysis of selected applications is conducted.

It can be concluded from analysis that NNs are most implemented in forecasting stock prices, returns, and stock modeling, and the most frequent methodology is the Backpropagation algorithm.

However, the importance of NN integration with other artificial intelligence methods is emphasized by numerous authors.


Inspite of many benefits, there are limitations that should be investigated, such as the relevance of the results, and the "best" topology for the certain problems. Neural Network Applications in Stock Market Predictions - A Methodology Analysis Marijana Zekic Neural network applications in stock market predictions PDF Cite Save Share.

neural network applications in stock market predictions

Showing of 13 references. Neural how to do successful day trading penny stocks applications in business: A review and analysis of the literature Bo K.

Neural Network Applications in Stock Market Predictions - A Methodology Analysis - Semantic Scholar

WongThomas BodnovichYakup Selvi Decision Support Systems Stock performance modeling using neural networks: A comparative download robot for binary options magnetic with making money in recession uk models Apostolos-Paul Nicholas RefenesAchilleas ZapranisGavin Francis Neural Networks An Application of Neural Networks.

Applying Artificial Neural Networks to Investment Analysis. Stock price prediction using neural networks: Forecast Combining with Neural Networks R.

GLEN DONALDSONMARK KAMSTRA Artificial Neural Networks and Their Business…. Integrating artificial neural networks with rule-based expert systems Victoria Y.

YoonTor GuimaraesGeorge Swales Decision Support Systems Using Neural Nets to Manage Investments. Intelligence Systems for Business, Expert Systems With Neural Networks. Intelligence Systems for Business, Expert Systems….

neural network applications in stock market predictions

Cited By Sort by: Showing of 24 extracted citations. Current Approaches in Neural Network Modeling of Financial Time Series Jang Bahadur A neural network based approach to support the Market Making strategies in High-Frequency Trading Everton SilvaDouglas CastilhoAdriano M.

Design and Implementation of Artificial Neural Network System for Stock Exchange Prediction A GhezelbashF Keynia Forecasting Stock Exchange Market and Weather Using Soft Computing Manjul Saini Neural Network design parameters for forecasting financial time series Assia LasferHazim El-BazImran Zualkernan 5th International Conference on Modeling….

Techniques in Stock Market Prediction: Stock Price Prediction using Neural Network with Hybridized Market Indicators Adebiyi Ayodele A Cluster-based Approach for Automatic Social Network Construction Wei-Lun ChangTzu-Hsiang Lin IEEE Second International Conference on…. The Allen Institute for Artificial Intelligence Proudly built by AI2 with the help of our Collaborators using these Sources.

Rating 4,6 stars - 338 reviews
inserted by FC2 system