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raptorclick
RaptorClick is an AI-assisted portfolio-protection market built for Alpaca paper trading. Instead of treating hedging as a single opaque recommendation, RaptorClick asks specialized hedge agents to propose protection for an existing portfolio. Each proposal is typed, scored through deterministic risk logic, and compared before the system can progress toward paper execution. The system reads Alpaca paper-account state, including account equity and positions, then evaluates hedge candidates against portfolio exposure, concentration, drawdown, premium cost, protection coverage, and execution constraints. A Risk Governor applies explicit approval rules. An agent cannot override those rules. The platform also maintains a Shadow Book: an unprotected comparison state used to calculate Protection Delta, making the cost and expected protection of a hedge visible rather than hidden behind an AI recommendation. RaptorClick includes: • Alpaca paper portfolio integration • Typed hedge proposals and deterministic risk scoring • Portfolio, exposure, and protection monitoring • A control-room dashboard with replayable agent activity • FastAPI REST endpoints and event-stream architecture • Paper execution disabled by default for safe review For this hackathon prototype, we focus on transparent, paper-only portfolio protection. No live-money trading or unsupported performance claims are made.
4 Sep 2026
