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Get Started Free →aifinlab/a-share-dividend
A股分红/股息分析。当用户说"分红"、"股息"、"高股息"、"dividend"、"分红率"、"XX分红怎么样"、"高分红股推荐"、"红利策略"、"现金分红"、"股息率排名"时触发。分析个股分红历史和可持续性,或筛选高股息标的,评估红利投资策略。通过 cn-stock-data 获取财务数据和行情,结合 web 搜索获取分红方案和历史记录。支持机构红利研究风格(formal)和个人分红笔记风格(brief)。
7 of 23 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 7 comparable cases; this report requires 8.
The instructions your model reads when the skill loads.
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
# 个股财务指标(盈利/现金流 — 分红可持续性基础)
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]
# 个股行情(计算当前股息率)
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE]
# K线(股价走势 vs 除权日)
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [2年前日期]
补充 web 搜索(分红数据 cn-stock-data 不直接提供):
Step 1: 确定分析模式
Step 2: 数据获取
个股模式:
构建分红历史表:
| 年度 | 每股派息(元) | 分红总额(亿) | 分红率(%) | 股息率(%) | 除权日 |
|---|
筛选模式:
test cases passed with the skill
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.