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>
75 lines
2.1 KiB
Markdown
75 lines
2.1 KiB
Markdown
## 复权因子
|
||
----
|
||
|
||
接口:adj_factor,可以通过[**数据工具**](https://tushare.pro/webclient/)调试和查看数据。
|
||
更新时间:盘前9点15~20分完成当日复权因子入库
|
||
描述:本接口由Tushare自行生产,获取股票复权因子,可提取单只股票全部历史复权因子,也可以提取单日全部股票的复权因子。
|
||
积分要求:2000积分起,5000以上可高频调取
|
||
|
||
**输入参数**
|
||
|
||
名称 | 类型 | 必选 | 描述
|
||
---- | ----- | ---- | ----
|
||
ts_code | str | N | 股票代码
|
||
trade_date | str | N | 交易日期(YYYYMMDD,下同)
|
||
start_date | str | N | 开始日期
|
||
end_date | str | N | 结束日期
|
||
|
||
**注:日期都填YYYYMMDD格式,比如20181010**
|
||
|
||
**输出参数**
|
||
|
||
名称 | 类型 | 描述
|
||
--- | ---- | ----
|
||
ts_code | str | 股票代码
|
||
trade_date | str | 交易日期
|
||
adj_factor | float | 复权因子
|
||
|
||
|
||
**接口示例**
|
||
|
||
```python
|
||
|
||
pro = ts.pro_api()
|
||
|
||
#提取000001全部复权因子
|
||
df = pro.adj_factor(ts_code='000001.SZ', trade_date='')
|
||
|
||
|
||
#提取2018年7月18日复权因子
|
||
df = pro.adj_factor(ts_code='', trade_date='20180718')
|
||
|
||
```
|
||
|
||
或者
|
||
|
||
```python
|
||
|
||
df = pro.query('adj_factor', trade_date='20180718')
|
||
|
||
```
|
||
|
||
**数据样例**
|
||
|
||
ts_code trade_date adj_factor
|
||
0 000001.SZ 20180809 108.031
|
||
1 000001.SZ 20180808 108.031
|
||
2 000001.SZ 20180807 108.031
|
||
3 000001.SZ 20180806 108.031
|
||
4 000001.SZ 20180803 108.031
|
||
5 000001.SZ 20180802 108.031
|
||
6 000001.SZ 20180801 108.031
|
||
7 000001.SZ 20180731 108.031
|
||
8 000001.SZ 20180730 108.031
|
||
9 000001.SZ 20180727 108.031
|
||
10 000001.SZ 20180726 108.031
|
||
11 000001.SZ 20180725 108.031
|
||
12 000001.SZ 20180724 108.031
|
||
13 000001.SZ 20180723 108.031
|
||
14 000001.SZ 20180720 108.031
|
||
15 000001.SZ 20180719 108.031
|
||
16 000001.SZ 20180718 108.031
|
||
17 000001.SZ 20180717 108.031
|
||
18 000001.SZ 20180716 108.031
|
||
19 000001.SZ 20180713 108.031
|
||
20 000001.SZ 20180712 108.031 |