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Abstract
 
 
Acadêmico(a): Bruno Tavares
Título: Sistema Multi-Agentes Aplicado a Estratégias do Mercado de Capitais
 
Abstract:
This paper describes the development of a multi-agent system, capable of evaluating investment strategies with moving averages in the stock market. Through the use of concepts of intelligent agents, a virtual stock exchange is prepared, where each agent has the autonomy to buy and sell assets. Used strategies include moving averages crossover with stock quotes price and two moving averages crossover. The results are presented through a report in which the profits on different assets can be compared to, obtained by multiple agents.