DCAi

Dollar-cost averaging (DCA) is a proven strategy to accumulate assets while mitigating volatility risks, especially in bull markets. However, manual DCA execution often fails to adapt to rapid market shifts, gas fluctuations, or emerging opportunities. DCAi is an autonomous, AI-driven agent that dynamically adjusts DCA parameters (timing, size, asset allocation) in real-time using on-chain data, sentiment analysis, and predictive modeling.

The AI agent also has capabilities of teaching web3 and investing concepts to users as well as supporting voice inputs and voice outputs to improve accessibility.

This project builds an AI Agent to implement dollar-cost-averaging using Coinbase AgentKit with openAI's langchain intelligence. The frontend is crafted using Next.js react library so that the client and server side can be managed efficiently with cost-effectiveness for the hackathon.

EigenLayers Hyperbolic is also implemented for AI voice support.

The solution was then deployed on Opsec's Onesec.