9d • 🎓 Education
🛠 Tool Deep Dive: Crash Detection Signals
EdgeFinder generates two types of signals: ML Model signals and Crash Detection signals. Today we're looking at Crash Detection — and why it's a distinct edge.
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WHAT IS CRASH DETECTION?
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Crash Detection identifies prediction markets where the YES price has surged rapidly — often due to news, social media momentum, or emotional crowd behavior. The model detects two specific patterns:
Momentum Crash — a market where YES price spiked fast and hard, driven by short-term sentiment rather than underlying probability.
Extreme Crash — a market where YES is priced far above what the underlying data supports, creating an extreme overvaluation gap.
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WHY BET NO?
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When markets crash upward emotionally, they tend to mean-revert. Most things don't happen. The YES side was never pricing reality — it was pricing hype. Crash Detection is a structural bet against overreaction.
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TODAY'S PROOF OF CONCEPT
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Today saw two Crash signals resolve as wins:
✅ Alanyaspor (Momentum Crash) — NO won
✅ Millwall FC (Momentum Crash) — NO won
Both were flagged before resolution. Both resolved NO.
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Crash Detection is built into the EdgeFinder tool alongside ML signals. You can see signal type labeled on every alert. Learn more in The EdgeFinder Foundation course — Classroom tab above.
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🛠 Tool Deep Dive: Crash Detection Signals
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