In this talk, I will present a mean-field game with common noise in Ito-diffusion markets. The players have preferences modeled through general forward criteria and compete with each other for their fund performance. The optimal policies and value of the game will be derived. I will also discuss the problem with finite number of players and examine its limit to the mean-field game.