Alexandre Pimenta, F. Guimarães, E. G. Carrano, C. Nametala, R. Takahashi
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GoldMiner: A genetic programming based algorithm applied to Brazilian Stock Market
The possibility of obtaining financial gain by investing in the Stock Markets is a hard task since it is under constant influence of economical, political and social factors. This paper aims to address the financial technical analysis of Stock Markets, focusing on time series data instead of subjective parameters. An algorithm based on genetic programming, named GoldMiner, has been proposed to perform retrospective study in order to get predictions about the best time for trading top stocks on the BOVESPA, the Brazilian stock exchange market.
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