This talk presents mean field games with relative performance criteria in market environments with partially observed model parameters. The MFG has unbounded controls both in the drift and the volatility, and common noise. A master system is derived and solved for representative cases. The single agent problem with partial information is  revisited and a new solution approach is introduced.