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>
2.8 KiB
2.8 KiB
港股通每日成交统计
接口：ggt_daily 描述：获取港股通每日成交信息，数据从2014年开始 限量：单次最大1000，总量数据不限制 积分：用户积2000积分可调取，5000积分以上频次相对较高，请自行提高积分，具体请参阅积分获取办法
输入参数
| 名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
| trade_date | str | N | 交易日期 （格式YYYYMMDD，下同。支持单日和多日输入） |
| start_date | str | N | 开始日期 |
| end_date | str | N | 结束日期 |
输出参数
| 名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
| trade_date | str | Y | 交易日期 |
| buy_amount | float | Y | 买入成交金额（亿元） |
| buy_volume | float | Y | 买入成交笔数（万笔） |
| sell_amount | float | Y | 卖出成交金额（亿元） |
| sell_volume | float | Y | 卖出成交笔数（万笔） |
接口示例
pro = ts.pro_api()
#获取单日全部统计
df = pro.ggt_daily(trade_date='20190625')
#获取多日统计信息
df = pro.ggt_daily(trade_date='20190925,20180924,20170925')
#获取时间段统计信息
df = pro.ggt_daily(start_date='20180925', end_date='20190925)
数据示例
trade_date buy_amount buy_volume sell_amount sell_volume
0 20190925 31.22 5.54 27.07 4.55
1 20190924 37.69 5.53 39.14 6.13
2 20190923 26.69 4.43 31.50 5.01
3 20190920 35.62 6.16 33.41 5.49
4 20190919 31.80 5.83 29.34 5.24
5 20190918 26.58 5.27 28.93 6.14
6 20190917 29.92 5.76 32.70 6.30
7 20190916 44.19 7.78 50.91 8.97
8 20190910 30.79 6.04 32.89 5.99
9 20190909 35.48 7.01 34.05 6.44
10 20190906 39.46 6.98 29.47 6.07
11 20190905 57.00 10.46 37.84 7.31
12 20190904 49.68 8.43 43.17 6.17
13 20190903 33.44 6.46 23.18 4.73
14 20190902 43.02 6.91 28.06 5.64
15 20190830 35.94 6.51 26.58 6.10
16 20190829 39.11 6.89 24.95 4.60
17 20190828 39.04 7.46 27.54 5.09
18 20190827 44.36 9.44 23.12 4.84
19 20190826 55.89 9.23 22.58 4.40
20 20190823 33.91 6.28 18.83 4.66
21 20190822 38.21 7.38 19.00 4.38
22 20190821 35.38 6.42 20.39 3.77