P2P communities, is a method for arranging large numbers of peers in a self configuring peer relationship based on declared attributes (or interests) of the participating peers. This method is expected to have an impact in sharing of resources and pruning of search spaces based on the interests of the clients. Current peer-to- peer systems are targeted for information sharing, file storage, searching and indexing often using an overlay network. In this paper we expand the scope of peer-to-peer systems to include the concept of a business environment analogous to a "stock market". Our work focuses on efficient methods to discover trustworthy peers in the P2P network. We investigate the behavior of randomly created relationships formed during transaction between Vendors and Emptors. Discovering services on the fly is essential to being able to identify profitable oriented transactions. In addition, efficient Vendor/Emptor based algorithms allow us to manage quickly changing market trends. Moreover the inclusion of the concept of trading policies among business communities enhances the probability of mutual gain.