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A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price

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References

2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
2010An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange426 cited
2005Fundamental Indexation378 cited
2006A TSK type fuzzy rule based system for stock price prediction319 cited
2007A type-2 fuzzy rule-based expert system model for stock price analysis189 cited

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