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BytesAgain β€Ί Skills β€Ί A Share Short Decision.Bak
πŸ¦€ ClawHub

A Share Short Decision.Bak

by @wu-xiaolin

A-share short-term trading decision skill for 1-5 day horizon. Use when you need real-data market sentiment, sector rotation, strong stock scanning, capital...

Versionv1.0.0
Downloads794
#finance#legal
TERMINAL
clawhub install a-share-short-decision-bak

πŸ“– About This Skill

name: Aθ‚‘ηŸ­ηΊΏδΊ€ζ˜“ε†³η­– A-Share Short-Term Decision slug: a-share-short-decision description: A-share short-term trading decision skill for 1-5 day horizon. Use when you need real-data market sentiment, sector rotation, strong stock scanning, capital flow confirmation, date-based short-term signal scoring, prediction logging, and next-day market comparison for CN A-share momentum trading.

A-Share Short-Term Decision Skill

Implement in sequence:

1. Run short_term_signal_engine(analysis_date) for target date. 2. If needed, persist prediction with run_prediction_for_date(analysis_date). 3. Compare prediction vs actual market with compare_prediction_with_market(prediction_date, actual_date). 4. Output report with generate_daily_report(analysis_date).

Tool Contracts

short_term_signal_engine(analysis_date=None)

  • analysis_date: YYYY-MM-DD or YYYYMMDD
  • Returns weighted short-term score and recommendation status.
  • Always returns friendly no_recommendation_message when no tradable candidate exists.

    • run_prediction_for_date(analysis_date)

  • Runs signal engine for the specified date.
  • Appends decision snapshot into data/decision_log.jsonl.

    • compare_prediction_with_market(prediction_date, actual_date=None)

  • Loads prediction from log (or auto-generates if missing).
  • Compares predicted candidates against real market closes on actual_date.
  • Returns per-stock return and summary statistics.

    • No-Recommendation Behavior

    Required behavior:

  • Never return empty output.
  • If candidates is empty or signal is NO_TRADE, explicitly say: ε½“ε‰ζš‚ζ— ε―ζ‰§θ‘ŒηŸ­ηΊΏδΉ°ε…₯ζ ‡ηš„.
  • Include reason and next action.

    • Runtime

    python3 main.py short_term_signal_engine --date 2026-02-12
python3 main.py run_prediction_for_date --date 2026-02-12
python3 main.py compare_prediction_with_market --prediction-date 2026-02-12 --actual-date 2026-02-13
python3 main.py generate_daily_report --date 2026-02-12

    Subskills Workflow

    For recurring optimize-then-recommend flow, run:

    python3 subskills/config-optimization/optimize_from_aggressive.py --analysis-period "2026-02-01 to 2026-02-12"
python3 subskills/daily-recommendation/generate_daily_recommendation.py --date 2026-02-14

    All generated artifacts are stored under data/.