Predicción de la dirección de variación del precio de una acción de la Bolsa de Nueva York usando información de la red social Stocktwits mediante algoritmos de minería de datos y aprendizaje automático

Abstract

Internet has changed the way traders trade in stock markets, due to the instant access to specific resources, articles and statistics about any stock. However, by using social networks; the traders took an important role in the generation of large ammounts of information in wich the main opinion about the market is contained. This work digs about if this information has any predictive power over the price direction variation of a stock traded in the New York Stock Exchange, using data mining techniques and machine learning algorithms.