# Data Flow and Integration * **User Interaction** * Users interact with the AMFI platform through web or mobile apps, accessing various services such as trading, staking, and metaverse experiences. * Transactions initiated by users are signed using their private keys within their non-custodial wallets (e.g., MetaMask, Trust Wallet). * **Smart Contracts Execution** * User requests are processed by smart contracts on the Ethereum blockchain, executing actions such as token swaps, staking, and yield farming. * The smart contracts interact with oracles to fetch real-time data, ensuring accurate AI-driven predictions and trading strategies. * **AI Processing and Decision Making** * AI models continuously analyze market data, user behaviour, and other relevant inputs to generate actionable insights. * These insights are fed back into the platform to optimize user experience, automate trading, and improve financial outcomes. * **Metaverse Integration** * Metaverse services connect with the blockchain to validate transactions, verify user identities, and manage digital assets, including NFTs. * Users interact with AR/VR environments, which communicate with the blockchain via APIs to ensure transparent and traceable transactions. * **Financial Services Management** * The AMFI Wallet facilitates secure management of user funds, while staking and yield farming smart contracts automate reward distributions. * The AMFI DEX operates on automated market maker algorithms, adjusting token prices based on supply and demand dynamics within liquidity pools. --- # 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://automated-meta-finance.gitbook.io/amfi-whitepaper/technical-architecture/key-components-of-the-architecture/data-flow-and-integration.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.