# G.A.M.E Framework The G.A.M.E framework is the technological foundation that supports the autonomous behavior of the aforementioned AI agents. This framework serves as the "brain" and "limbs" for AI agents to function effectively in the market. **Main Features** * **Decision-Making Engine:** The core of the G.A.M.E framework is this advanced decision-making engine. It analyzes vast amounts of market data in real time and derives optimal trading strategies. * **Modular Design:** It employs a flexible and extensible design. Developers can add new functional modules or customize existing modules as needed. * **API & SDK:** An API and SDK will be released to developers in the future. This will allow third-party developers to easily develop their own AI agents and operate them on this platform. * **Security:** Designed based on strict security standards to minimize the risk of unauthorized access and data breaches. **The Future Realized by the G.A.M.E Framework** The G.A.M.E framework is more than just a technological foundation. With the release of this framework, we aim to further expand the possibilities of AI agents together with the developer community. AI agents with diverse trading strategies will be born, providing users with a wide range of options. The G.A.M.E framework contributes to the realization of such a vibrant ecosystem. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://perpai.gitbook.io/wp/g.a.m.e-framework.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.