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🤓 Latest Submissions
Dark Wolf Sentinel
Dark Wolf Sentinel is a safety-first AI market intelligence and paper-trading research agent designed to make AI-assisted market analysis more transparent, testable, and controlled. It combines Alpaca market data and scanning, Alpaca MCP news context, and GPT-5.6 analysis to turn current market conditions into structured trade-or-pass reasoning. Instead of allowing an AI model to place orders, the system separates probabilistic analysis from deterministic authority. Its output explains the observed market regime, supporting and conflicting evidence, confidence, risk conditions, invalidation logic, and why an opportunity should proceed or be rejected. Live trading, broker submission, and AI execution authority remain disabled. The current package has passed 187 automated tests together with dedicated safety, secret, and MCP launch-compatibility checks. It makes no profitability claim and is presented as a paper-trading research prototype. For complete transparency, much of the underlying AI Trader research core existed before the hackathon and is disclosed in PRE_EVENT_BASELINE.md. The submission documentation distinguishes that baseline from the Alpaca integration, compatibility work, safety hardening, validation evidence, documentation, demonstration, and submission materials completed during the event. Dark Wolf Sentinel demonstrates how capable AI market analysis can remain useful without surrendering final control to an autonomous model.
4 Sep 2026
