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>
2.7 KiB
2.7 KiB
港股通每月成交统计
接口：ggt_monthly 描述：港股通每月成交信息，数据从2014年开始 限量：单次最大1000 积分：用户积5000积分可调取，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 |
|---|---|---|---|
| month | str | N | 月度（格式YYYYMM，下同，支持多个输入） |
| start_month | str | N | 开始月度 |
| end_month | str | N | 结束月度 |
输出参数
| 名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
| month | str | Y | 交易日期 |
| day_buy_amt | float | Y | 当月日均买入成交金额（亿元） |
| day_buy_vol | float | Y | 当月日均买入成交笔数（万笔） |
| day_sell_amt | float | Y | 当月日均卖出成交金额（亿元） |
| day_sell_vol | float | Y | 当月日均卖出成交笔数（万笔） |
| total_buy_amt | float | Y | 总买入成交金额（亿元） |
| total_buy_vol | float | Y | 总买入成交笔数（万笔） |
| total_sell_amt | float | Y | 总卖出成交金额（亿元） |
| total_sell_vol | float | Y | 总卖出成交笔数（万笔） |
接口示例
pro = ts.pro_api()
#获取单月全部统计
df = pro.ggt_monthly(trade_date='201906')
#获取多月统计信息
df = pro.ggt_monthly(trade_date='201906,201907,201709')
#获取时间段统计信息
df = pro.ggt_monthly(start_date='201809', end_date='201908')
数据示例
month day_buy_amt ... total_sell_amt total_sell_vol
0 201908 37.77 ... 450.97 96.62
1 201907 21.84 ... 382.55 80.20
2 201906 27.45 ... 379.76 84.01
3 201905 32.58 ... 473.15 96.49
4 201904 37.52 ... 574.37 107.81
5 201903 40.92 ... 734.38 137.88
6 201902 34.70 ... 601.37 102.96
7 201901 21.44 ... 481.81 121.27
8 201812 19.56 ... 299.61 65.57
9 201811 20.44 ... 496.59 112.33
10 201810 31.36 ... 453.75 96.50
11 201809 26.58 ... 334.69 66.25
12 201808 25.67 ... 772.85 122.83
13 201807 25.25 ... 569.46 98.26
14 201806 28.27 ... 689.56 119.53
15 201805 29.71 ... 716.09 118.85
16 201804 30.49 ... 502.29 86.25
17 201803 38.74 ... 879.75 141.66
18 201802 75.70 ... 787.44 105.01