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| Acadêmico(a): Adriano Cassaniga Petry |
| Título: Protótipo para Previsão do Mercado de Ações utilizando Bandas de Bollinger |
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| Abstract: |
| This work describes the development of a prototype to predict a stock market, using the indicator Bollinger Bands as a key in data mining. To make predictions, artificial neural networks are used with the algorithms Backpropagation, Linear Regression and Learning Vector Quantisation. The results are presented through a report, which are addressed by the performances of the algorithms. Moreover, the actual data and forecasts can be graphically displayed and analyzed, either individually or together. |
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