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