In　this　paper,　we　propose　a　new　decision-making　approach　for　C2C　electronic　trade　based　on　economic　theory　and　relevant　trust　mechanisms　in　which　we　incorporate　the　element　of　trust　and　risk　into　a　single　model.　During　buying,　an　agent　learns　to　select　its　partners　based　on　the　evaluation　of　trust　on　potential　partners　as　well　as　on　its　own　personal　risk　attitude.　During　selling,　in　order　to　increase　the　chance　of　winning　a　deal,　an　agent　learns　to　attract　customers　by　adjusting　its　profit　rate,　which　is　related　to　both　risk　and　trust.　The　unique　feature　of　our　approach　is　that　it　provides　a　flexible　decision-making　model　for　trading　agents.　The　approach　aims　at　helping　traders　seek　more　profits　and,　at　the　same　time,　preventing　themselves　from　frauds　and　deceptions　during　the　trade.　It　is　also　a　good　starting　point　for　exploring　tradeoffs　among　risk,　reputation　and　utility.