Macro-Sentry

Macro‑Sentry runs a full pipeline. First, it gathers macro and crypto signals. Then an LLM produces a strict JSON decision—BUY, SELL, or HOLD—along with a position size and reasoning. Next, the backend executes the trade via Kraken CLI. For a hackathon demo, we run safely in paper mode by default, but the same pipeline can run live if you configure Kraken CLI for a real account. For the ERC‑8004 trust layer, the agent can register an on-chain identity, produce EIP‑712 signatures for trade intents, and emit validation artifacts that create an auditable history of key decisions and actions. Those artifacts and reputation signals are displayed in the dashboard so judges can see not only what happened, but how it can be verified. Now I’ll show the demo. On the Dashboard, you can see performance metrics and the latest decision pulled from the backend. When I click Auto‑Trade Now, the system runs the complete loop: it fetches signals, the LLM outputs a decision, and we execute through Kraken CLI—paper mode in this demo. The result shows the action, an order id, the risk mode, and the reasoning. That trade is also logged to the Portfolio view so we can track returns and drawdowns over time. In on-chain mode, we additionally post a validation artifact linked to that trade, so it becomes verifiable on-chain and contributes to the agent’s reputation. What makes Macro‑Sentry competitive is that it’s not just a UI demo—it’s a deployable pipeline with safe defaults. You can run it with zero keys for a clean demo experience, and then switch to live execution and on-chain artifacts for real-world operation.