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LABScon25 Replay | Breach Alpha: Trading on Cyber Fallout

ID: fb723f66-4614-54bb-8527-5d73e026a5df

STIX ID: report--fb723f66-4614-54bb-8527-5d73e026a5df

Feed Name: SentinelLabs - We are hunters, reversers, exploit developers, and tinkerers shedding light on the world of malware, exploits, APTs, and cybercrime across all platforms.

Date Published: 2026-05-14

Date Updated: 2026-07-27

Author: LABScon

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This LABScon2025 presentation by Mick Baccio and Scott Roberts examines whether public breadcrumbs of breach activity (EDGAR filings, executive blogs, social media) enable prediction of stock-market responses, proposing a "15/30" short-then-long trading hypothesis and testing it with AI-assisted data collection and Hidden Markov time-series analysis; mixed results across case studies lead the authors to a cautious, skeptical conclusion about the reliability of cyber-event trading.

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