Genetic optimization of a trading algorithm based on pattern recognition
Description
In the present paper, a trading strategy based onpattern recognition is optimized by means of a genetic algorithm.The genetic algorithm is used to determine decisions of buy/sellbased on the patterns found through time for a portfolio in thestock market. The predominant algorithms used in this workwere theK-means clustering algorithm to find the patterns indifferent time lapses, and the genetic algorithm for optimization.The results are supported by simulations using a selected sharesof the Mexican stock market.ITESO, A.C.