Ioan Tandau

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The goal of this paper is to create a hybrid recommendation system based on a Multi-Agent Architecture that will inform the trader about the future stock trend in order to improve the profitability of a short or medium time period investment. We proposed a Multi-Agent Architecture that uses the numbers of the Fibonacci Series and the Elliott Wave Theory,(More)
Stock Trading Algorithm Models are an important problem researchers dealt with through time that implied knowledge in technical and fundamental analysis, time series combined with knowledge expertise in computer science or programming in order to find solutions of how to have a stock gain. This paper proposes a multi-agent architecture that assists a user(More)
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