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Mathew Ukoh

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Mathew Ukoh — Demo video

Hunter's Eye helps traders and students understand liquidity events in the market. Finding an event is easy. Working out what happened, whether it matters, and what evidence supports it takes about 30 minutes or more of chart work. Hunter's Eye detects the event, then investigates it. It tests four competing explanations with visible rule-based checks, compares the event with similar past events, and gives a confidence label (including "insufficient evidence"). A scorecard measures the method against a simple baseline. Meta's Muse Spark then explains the evidence in plain words, and the app can read it aloud. It is a monitoring tool, not a trading bot, and it does not predict prices

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