Energy markets are in constant evolution and transformation. The dynamics have rapidly changed and both private companies and governments require appropriate tools and systems for management and monitoring. We propose a new approach to measure and manage energy trading financial risk. The approach is twofold: first we use complex modeling to represent the context and second, we implemented an information system to provide risk management tools anytime, anywhere. More in detail, we modeled trading agent’s interactions and observe in advance scenarios that could jeopardize the system equilibrium. We then find the optimal balance for energy trading. From an academic point of view, we contrasted techniques like Nash Equilibrium and Game theory and from a practical experience; we developed a software platform in partnership with the government regulator entity in Colombia XM.