a65adcc2e5
Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:
- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
- docx family: kept docx (official, full toolchain) + docx-cn
(GB/T 9704 Chinese official-document constants),
dropped docx_writer (no scripts, name collided with docx)
- humanizer family: kept humanizer-zh (6 zh reference docs),
dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
live credentials
Result: 25 skills, 572 files, ~7.5 MB.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
87 lines
2.9 KiB
Markdown
87 lines
2.9 KiB
Markdown
## 港股复权行情
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----
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接口：hk_daily_adj，可以通过[**数据工具**](https://tushare.pro/webclient/)调试和查看数据。
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描述：获取港股复权行情，提供股票股本、市值和成交及换手多个数据指标
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限量：单次最大可以提取6000条数据，可循环获取全部，支持分页提取
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要求：120积分可以试用查看数据，开通正式权限请参考[权限说明文档](https://tushare.pro/document/1?doc_id=290)
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注：港股复权逻辑是：价格 * 复权因子 = 复权价格，比如close * adj_factor = 前复权收盘价。复权因子历史数据可能除权等被刷新，请注意动态更新。
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<br>
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<br>
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**输入参数**
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名称 | 类型 | 必选 | 描述
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---- | ----- | ---- | ----
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ts_code | str | N | 股票代码（e.g. 00001.HK）
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trade_date | str | N | 交易日期（YYYYMMDD）
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start_date | str | N | 开始日期（YYYYMMDD）
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end_date | str | N | 结束日期（YYYYMMDD）
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<br>
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<br>
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**输出参数**
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名称 | 类型 | 默认显示 | 描述
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--- | ---- | ---- | ----
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ts_code | str | Y | 股票代码
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trade_date | str | Y | 交易日期
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close | float | Y | 收盘价
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open | float | Y | 开盘价
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high | float | Y | 最高价
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low | float | Y | 最低价
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pre_close | float | Y | 昨收价
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change | float | Y | 涨跌额
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pct_change | float | Y | 涨跌幅
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vol | None | Y | 成交量
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amount | float | Y | 成交额
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vwap | float | Y | 平均价
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adj_factor | float | Y | 复权因子
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turnover_ratio | float | Y | 换手率(基于总股本)
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free_share | None | Y | 流通股本
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total_share | None | Y | 总股本
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free_mv | float | Y | 流通市值
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total_mv | float | Y | 总市值
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<br>
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<br>
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**接口示例**
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```python
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pro = ts.pro_api()
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#获取单一股票行情
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df = pro.hk_daily_adj(ts_code='00001.HK', start_date='20240101', end_date='20240722')
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#获取某一日某个交易所的全部股票
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df = pro.hk_daily_adj(trade_date='20240722')
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```
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<br>
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<br>
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**数据示例**
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ts_code trade_date close pre_close vol adj_factor turnover_ratio
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0 00001.HK 20240722 40.95 40.90 2799284 1.0000 0.07
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1 00001.HK 20240719 40.90 40.85 6472801 1.0000 0.17
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2 00001.HK 20240718 40.85 40.50 5498406 1.0000 0.14
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3 00001.HK 20240717 40.50 39.95 4151953 1.0000 0.11
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4 00001.HK 20240716 39.95 40.15 3978223 1.0000 0.10
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.. ... ... ... ... ... ... ...
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131 00001.HK 20240108 38.91 39.05 3271763 0.9572 0.09
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132 00001.HK 20240105 39.05 39.24 2731319 0.9572 0.07
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133 00001.HK 20240104 39.24 39.58 2800255 0.9572 0.07
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134 00001.HK 20240103 39.58 39.48 3498817 0.9572 0.09
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135 00001.HK 20240102 39.48 40.06 2782895 0.9572 0.07
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[136 rows x 7 columns]
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