NEXUS AI trading agent

NEXUS is a trust-aware autonomous AI trading agent built for the next generation of financial agents that must do more than just trade. It was designed around a core challenge in AI finance: enabling agents to interact with capital safely, execute strategies autonomously, and demonstrate transparent, verifiable behavior. The project combines three strategy modes (algo, llm, hybrid), four risk profiles, DEX-based execution through a RiskRouter-compatible flow, ERC-8004 agent identity, and EIP-712 checkpoint logging. This means NEXUS is not just an automated trader, but a system built to make every important decision inspectable and accountable. One of its biggest strengths is trust infrastructure. NEXUS aligns with the ERC-8004 vision of identity, reputation, and validation for financial agents. Each agent can operate with a registered on-chain identity, while decision checkpoints create an auditable trail of actions, confidence, and reasoning. That gives the system a verifiable record instead of a black-box trading loop. Another major strength is risk-aware execution. NEXUS is built around policy controls rather than blind automation. It includes risk profiles, decision guards, a local kill-switch, recovery controls, and checkpointed runtime behavior so the agent can prioritize capital protection, drawdown awareness, and safer execution. This matches the hackathon’s emphasis on risk-adjusted performance, validation quality, and transparent agent behavior. NEXUS also stands out through its modular architecture. It combines PRISM-backed market and signal inputs, Groq-hosted Llama reasoning, algorithmic scoring modules, and a live Next.js dashboard for monitoring logs, checkpoints, system state, and controls in real time. In short, NEXUS shows that an autonomous trading agent can be configurable, transparent, risk-aware, and verifiable by design.