Chain Insight

The problem it solves

Investors today face two major challenges: • Lack of Personalization: Traditional platforms offer generic investment advice, leaving investors to struggle with aligning opportunities to their unique risk tolerance. • Manual Trading Complexities: Crafting and executing personalized trading strategies is time-consuming and error-prone, especially in rapidly evolving markets.

Our solution addresses these issues by: • Risk Profiling via a Simple Questionnaire: A three-question flow quickly assesses the user’s risk appetite and investment style. • AI-Curated Investment Baskets: Based on user responses, an AI engine generates a tailored basket of onchain investment ideas (similar to a crypto basket model) with complete transparency and security. • Automated Trading Agent: Using the custom parameters that drive a personalized trading strategy. The agent executes trades onchain and sends real-time trade alerts.

Challenges we ran into

During development, we encountered several hurdles: Integrating Real-Time AI with Onchain Execution: Synchronizing asynchronous blockchain data with rapid AI decision-making proved challenging. We addressed this by designing robust API endpoints and leveraging AgentKit to streamline communication. Secure Wallet Interactions: Ensuring seamless and secure transactions with MPC wallets required extensive testing and optimization to handle real-time alerts and automated trades. Issues with docs for api integration, some parts of the code were deprciated. addressed this by updating the actual routes