The design and implementation of an intelligent agent-based negotiation shopping system
Multiagent and Grid Systems
Stock Index Prediction Based on Adaptive Training and Pruning Algorithm
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Combining News and Technical Indicators in Daily Stock Price Trends Prediction
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Development and performance evaluation of FLANN based model for forecasting of stock markets
Expert Systems with Applications: An International Journal
Evaluation approach to stock trading system using evolutionary computation
Expert Systems with Applications: An International Journal
Neuro-genetic system for stock index prediction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
Adaptive stock trading with dynamic asset allocation using reinforcement learning
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
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Financial predictions, such as stock forecasts, is always one of the hottest topics for research studies and commercial applications. With the rapid growth of Internet technology in recent years, e-finance has become a vital application of e-commerce. However, in this "sea" of information, made available through the Internet, an "intelligent" financial web-mining and stock prediction system can be a key to success. In this paper, the author introduces the iJADE Stock Advisor-an intelligent agent-based stock prediction system using our proposed hybrid radial basis-function recurrent network (HRBFN). By using ten-year stock pricing information (1990-1999), consisting of 33 major Hong Kong stocks for testing, the iJADE Stock Advisor has achieved promising results in terms of efficiency, accuracy, and mobility as compared with other contemporary stock prediction models. Also, various analyzes on this stock advisory system have been performed: including round trip time (RTT) analysis, window-size evaluation test (for both long-term trend and short-term prediction), and stock prediction performance test.