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.
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See how to installReview the instructions the agent will receive before you install.
Implement in sequence:
short_term_signal_engine(analysis_date) for target date.run_prediction_for_date(analysis_date).compare_prediction_with_market(prediction_date, actual_date).generate_daily_report(analysis_date).short_term_signal_engine(analysis_date=None)analysis_date: YYYY-MM-DD or YYYYMMDDno_recommendation_message when no tradable candidate exists.run_prediction_for_date(analysis_date)data/decision_log.jsonl.compare_prediction_with_market(prediction_date, actual_date=None)actual_date.Required behavior:
candidates is empty or signal is NO_TRADE, explicitly say: 当前暂无可执行短线买入标的.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
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/.
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