| name | A股短线交易决策 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:
- Run
short_term_signal_engine(analysis_date) for target date.
- If needed, persist prediction with
run_prediction_for_date(analysis_date).
- Compare prediction vs actual market with
compare_prediction_with_market(prediction_date, actual_date).
- 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: 当前暂无可执行短线买入标的.
- 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/.
