15 lines
595 B
Markdown
15 lines
595 B
Markdown
# Semantic News Scanner
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## Current Understanding
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Currently regex-based extraction, not semantic. Headline text is not included in
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candidate context — the context just says "Mentioned in recent market news" which
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is not informative. Catalyst classification from headline keywords (upgrade/FDA/
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acquisition/earnings) would improve LLM scoring quality significantly.
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## Evidence Log
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_(populated by /iterate runs)_
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## Pending Hypotheses
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- [ ] Would embedding-based semantic matching outperform keyword regex?
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- [ ] Does catalyst classification (FDA vs earnings vs acquisition) affect hit rate?
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