# Revault DeFi Investment Engine The investment engine within the platform empowers users to holistically manage their investments across the DeFi landscape. Not only can they efficiently identify optimal investment opportunities using the search engine dashboard and seamlessly invest in the best-suited options, but they can also optimize their positions for maximum yield and security. This entails crafting and overseeing the entire portfolio's investment structure, strategically allocating assets to generate returns. Upon defining their portfolio's structure, the investment engine's rebalance and zap\&deposit features come into play, facilitating the maintenance of the predetermined structure and thereby creating a yield-bearing Exchange-Traded Fund (ETF). For instance, consider this hypothetical example: **Portfolio Structure:** * BUSD: 10% * BNB: 25% * BTC: 25% * ETH: 25% * CAKE: 15% **Corresponding Vaults:** * BUSD: Bunny (Venus) * BNB: Beefy (Venus) * BTC: Acryptos (Channels) * ETH: Acryptos (Atlantis) * CAKE: Autofarm (Mars) Users can construct these custom smart ETFs, which can not only be monitored but also copied by other users. The platform will recognize top-performing smart ETFs and reward their creators monthly, fostering an environment of collaboration and innovation. This investment engine transforms the platform into a comprehensive tool, not just for investment discovery and execution, but also for effective portfolio management, empowering users to actively engage in the dynamic world of DeFi while sharing their strategies with the community. --- # 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://revault-network-1.gitbook.io/revault-network-2/tokenomics/the-revault-platform/revault-defi-investment-engine.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.