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What is Optimizing Moving Average Trading Rules about?

This paper presents a method for optimizing moving average-based stock trading rules using particle swarm optimization (PSO) to enhance profitability. It discusses the effectiveness of trading signals generated by the golden cross strategy and evaluates the performance of the proposed method on real-world stock market indices over three years. The results indicate that the PSO algorithm successfully determines optimal long/short durations for moving averages, leading to improved trading outcomes.

Author

sabbar.thijeel

Language

EN