market-screen
Market Screen
Rank multiple A-share candidates for: $ARGUMENTS
Overview
- Implementation status: code-backed
- Local entry script:
<bundle-root>/market-screen/run.py - Primary purpose: batch-score a candidate universe and return the strongest names first
- Research layer: universe formation and comparative ranking (Stage 1: Strategy Design & Hypothesis Formation - Universe definition, Stage 4: Feature Engineering & Signal Construction - Cross-sectional ranking)
- Workflow stages: stage 1
Universe Formationand stage 4Feature Engineering & Signal Constructionfor breadth-first triage - Local executor guarantee: apply the shared market score to each candidate, sort valid names, and list skipped entries when partial failures occur
Use When
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1paper-trading
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1watchlist
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1market-analyze
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1stock-data
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1