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>
3.5 KiB
3.5 KiB
月线行情
接口：monthly 描述：获取A股月线数据 限量：单次最大4500行，总量不限制 积分：用户需要至少2000积分才可以调取，具体请参阅积分获取办法
输入参数
| 名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
| ts_code | str | N | TS代码 （ts_code,trade_date两个参数任选一） |
| trade_date | str | N | 交易日期 （每月最后一个交易日日期，YYYYMMDD格式） |
| 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 |
|---|---|---|---|
| ts_code | str | Y | 股票代码 |
| trade_date | str | Y | 交易日期 |
| close | float | Y | 月收盘价 |
| open | float | Y | 月开盘价 |
| high | float | Y | 月最高价 |
| low | float | Y | 月最低价 |
| pre_close | float | Y | 上月收盘价 |
| change | float | Y | 月涨跌额 |
| pct_chg | float | Y | 月涨跌幅 （未复权，如果是复权请用 通用行情接口 ） |
| vol | float | Y | 月成交量 |
| amount | float | Y | 月成交额 |
接口用法
pro = ts.pro_api()
df = pro.monthly(ts_code='000001.SZ', start_date='20180101', end_date='20181101', fields='ts_code,trade_date,open,high,low,close,vol,amount')
或者
df = pro.monthly(trade_date='20181031', fields='ts_code,trade_date,open,high,low,close,vol,amount')
数据样例
ts_code trade_date close open high low vol \
0 000001.SZ 20181031 10.91 10.70 11.46 9.70 27801557.09
1 000001.SZ 20180930 11.05 10.09 11.27 9.68 18821004.99
2 000001.SZ 20180831 10.13 9.42 10.43 8.64 21896873.02
3 000001.SZ 20180731 9.42 9.05 9.59 8.45 20430278.02
4 000001.SZ 20180630 9.09 10.15 10.46 8.87 18179888.58
5 000001.SZ 20180531 10.18 10.97 11.23 10.02 18267177.83
6 000001.SZ 20180430 10.85 10.87 11.94 10.51 23495990.53
7 000001.SZ 20180331 10.90 11.92 12.34 10.55 23129969.15
8 000001.SZ 20180228 12.05 13.95 14.57 11.38 25624473.21
9 000001.SZ 20180131 14.05 13.35 15.13 12.86 46145376.46
10 000001.SZ 20171231 13.30 13.40 13.86 12.64 29661838.16
11 000001.SZ 20171130 13.38 11.56 15.24 11.09 42481293.87
12 000001.SZ 20171031 11.54 11.57 11.73 11.12 13951964.07
13 000001.SZ 20170930 11.11 11.28 11.94 10.82 16101838.41
14 000001.SZ 20170831 11.28 10.64 11.74 9.99 26281362.76
15 000001.SZ 20170731 10.67 9.40 11.33 9.27 35360949.04
16 000001.SZ 20170630 9.39 9.20 9.49 8.99 12718091.74
17 000001.SZ 20170531 9.20 8.96 9.23 8.54 12252646.46
18 000001.SZ 20170430 8.99 9.16 9.22 8.89 8024338.26
19 000001.SZ 20170331 9.17 9.49 9.55 9.06 12889345.37
20 000001.SZ 20170228 9.48 9.34 9.62 9.23 8460527.09
21 000001.SZ 20170131 9.33 9.11 9.34 9.07 7629258.66
amount
0 2.960878e+07
1 1.942842e+07
2 2.088672e+07
3 1.832737e+07
4 1.791251e+07
5 1.965278e+07
6 2.655691e+07
7 2.692560e+07
8 3.322504e+07
9 6.454870e+07
10 3.914290e+07
11 5.604279e+07
12 1.597217e+07
13 1.827867e+07
14 2.859479e+07
15 3.736988e+07
16 1.171552e+07
17 1.083921e+07
18 7.268941e+06
19 1.197751e+07
20 7.977982e+06
21 7.001209e+06