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The goal of this paper is to create a hybrid model that helps the investor to make a good decision on when to buy/sell on a stock market in order to maximize his gain. Artificial Neural Networks are often used in stock market prediction because of their ability to find patterns and correlations in past data. We propose a Multi-Agent Architecture that by combining techniques from fundamental and technical analysis with Neural Networks (namely Multi-Layer Perceptron) tries to compare the result given by all three of them in order to give a much valuable result on which can be a good moment to buy/sell on a stock market. In order to validate our model a prototype was developed.
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