Browsing by Author "Silva, Miguel Alexandre Borges da"
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- Métodos de previsão de tendência de mercados de açõesPublication . Silva, Miguel Alexandre Borges da; Ferreira, Carlos Manuel Abreu GomesInvesting in stock market is not an easy task, it could be a high-risk investment. Stock price depends on several factors that can be internal factors, such as, the company itself which is down-grade his worth or external factor such as politics, or even the financial environment of the country of that specific market. Investors need careful decision-making skills to maintain profit in the long run. Usually they use techniques that can help them to make a better decision, or at least facilitate that “job”. In the past years, many machine learning models have been investigated for this purpose. Being an area, which is very influenced by uncontrollable factors, it´s not easy to get a perfect solution. This thesis demonstrates a possible methodology to produce a good price prediction of the stock market and make it available to the general public.