The crucial issue on how to model an optimal economic trading model for Energy Communities (ECs) reveals the need for adapted trading mechanisms and pricing strategies in emerging decentralised market forms. Yet, the extent to which these trading models influence the allocation of costs and benefits to EC members remains unexplored. This poster provides an overview of existing literature findings, lays down relevant models and derives essential principles for economic trades inside ECs. For this purpose, a comprehensive review of relevant literature across economic and engineering domains was conducted, with a specific focus on ECs and Peer-to-Peer (P2P) markets. By examining these concepts, important obstacles and enablers of local energy trading are discussed and related to the framework of ECs. Among the assessed models, the community-based P2P model emerges as highly adaptable for ECs, primarily due to its potential to foster cooperation among prosumers. Furthermore, this research delves into vital insights concerning sharing mechanisms and their integration within trading models. Finally, essential conditions and key considerations are proposed to determine the optimal energy trading structure for ECs, including the need to find a balance between efficiency, fairness and scalability in the design of allocation methods.