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cccskills
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A股短线交易决策 A-Share Short-Term Decision

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.

インストール方法を見る

含まれるファイル(22)

  • SKILL.md2.3 KB
  • config.json1.6 KB
  • main.py3.5 KB
  • prompts/analysis_prompt.txt1.3 KB
  • README.md4.3 KB
  • requirements.md4.1 KB
  • scheduler.yaml539 B
  • subskills/config-optimization/optimize_from_aggressive.py5.4 KB
  • subskills/config-optimization/SKILL.md798 B
  • subskills/daily-recommendation/generate_daily_recommendation.py2.1 KB
  • subskills/daily-recommendation/SKILL.md515 B
  • tools/__init__.py720 B
  • tools/debug_utils.py1.3 KB
  • tools/decision_eval.py6.7 KB
  • tools/fusion_engine.py5.3 KB
  • tools/indicators.py1.7 KB
  • tools/market_data.py21.6 KB
  • tools/money_flow.py9.8 KB
  • tools/reporting.py2.2 KB
  • tools/risk_control.py1.4 KB
  • tools/sentiment.py813 B
  • tools/settings.py1.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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: 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/.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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