Navigate DeFi investments through FHE-encrypted AI agents tracking on/off-chain intel!
CanHav Research is a research platform built for active traders to navigate complex DeFi markets. Keeping up with constant innovation and market shifts exceeds data any of us can retain, and thus users can seamlessly train and integrate customized AI agents to continuously track updates for them.
Agents created on the platform maintain a verified, on-chain identity under the ERC-8004 standard, allowing teams to safely monetize their trained agent down the line. Also, these agents are powered by Fully Homomorphic Encryption (FHE), which means your proprietary investment strategies and trade intentions remain entirely private and protected from public mempool front-running.
The platform lets users choose their execution style too. This means you can grant your agents the autonomy to execute transactions directly, or maintain a human-in-the-loop workflow where the agent acts as an automated co-pilot suggesting optimal asset reallocations.
I added the GMX integration to enable trading in testnet. Since it is only on testnet, we can only trade ETH and BTC, which is why I show the ETH agent in my demo video. I have taken out the marketplace component on the platform after a mentorship session with Daniel and Ben, who suggested it was a completely different business model, which made my pitch too complicated. Also, talking to other attendees, I realized ensuring the agents are FHE Encrypted was important for onboarding users who want to protect their strategies.
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