The document proposes developing an artificial intelligence-based stock trading system using particle swarm optimization. It finds that using 30 neural networks with a 100-day moving time interval to select the top 3 stock picks daily based on the highest recommendations produces the most stable and profitable results. The system uses swarm intelligence to search for the globally best-performing neural network each day to make trading decisions.