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>
98 lines
3.0 KiB
Markdown
98 lines
3.0 KiB
Markdown
## 指数月线行情
|
||
----
|
||
|
||
接口:index_monthly
|
||
描述:获取指数月线行情,每月更新一次
|
||
限量:单次最大1000行记录,可多次获取,总量不限制
|
||
积分:用户需要至少600积分才可以调取,积分越多频次越高,具体请参阅[积分获取办法](https://tushare.pro/document/1?doc_id=13)
|
||
|
||
<br>
|
||
<br>
|
||
|
||
**输入参数**
|
||
|
||
名称 | 类型 | 必选 | 描述
|
||
---- | ----- | ---- | ----
|
||
ts_code | str | N | TS代码
|
||
trade_date | str | N | 交易日期
|
||
start_date | str | N | 开始日期
|
||
end_date | str | N | 结束日期
|
||
|
||
<br>
|
||
<br>
|
||
|
||
**输出参数**
|
||
|
||
名称 | 类型 | 默认显示 | 描述
|
||
--- | ---- | ---- | ----
|
||
ts_code | str | Y | TS指数代码
|
||
trade_date | str | Y | 交易日
|
||
close | float | Y | 收盘点位
|
||
open | float | Y | 开盘点位
|
||
high | float | Y | 最高点位
|
||
low | float | Y | 最低点位
|
||
pre_close | float | Y | 昨日收盘点
|
||
change | float | Y | 涨跌点位
|
||
pct_chg | float | Y | 涨跌幅
|
||
vol | float | 成交量(手)
|
||
amount | float | 成交额(千元)
|
||
|
||
<br>
|
||
<br>
|
||
|
||
**接口用法**
|
||
```python
|
||
|
||
pro = ts.pro_api()
|
||
|
||
df = pro.index_monthly(ts_code='000001.SH', start_date='20180101', end_date='20190330', fields='ts_code,trade_date,open,high,low,close,vol,amount')
|
||
|
||
```
|
||
|
||
或者
|
||
|
||
```python
|
||
|
||
df = pro.index_monthly(trade_date='20190329', fields='ts_code,trade_date,open,high,low,close,vol,amount')
|
||
|
||
```
|
||
|
||
<br>
|
||
<br>
|
||
|
||
**数据样例**
|
||
|
||
ts_code trade_date close open high low \
|
||
0 000001.SH 20190329 3090.758 2954.402 3129.940 2930.835
|
||
1 000001.SH 20190228 2940.954 2597.778 2997.488 2590.554
|
||
2 000001.SH 20190131 2584.572 2497.881 2630.318 2440.907
|
||
3 000001.SH 20181228 2493.896 2647.132 2666.078 2462.845
|
||
4 000001.SH 20181130 2588.188 2617.033 2703.512 2555.322
|
||
5 000001.SH 20181031 2602.783 2768.208 2771.938 2449.197
|
||
6 000001.SH 20180928 2821.350 2716.404 2827.341 2644.296
|
||
7 000001.SH 20180831 2725.250 2882.506 2897.400 2653.112
|
||
8 000001.SH 20180731 2876.401 2841.580 2915.297 2691.021
|
||
9 000001.SH 20180629 2847.418 3084.754 3128.715 2782.381
|
||
10 000001.SH 20180531 3095.474 3087.409 3219.740 3041.000
|
||
11 000001.SH 20180427 3082.232 3169.779 3220.845 3041.625
|
||
12 000001.SH 20180330 3168.897 3235.089 3333.875 3091.458
|
||
13 000001.SH 20180228 3259.408 3478.670 3495.093 3062.743
|
||
14 000001.SH 20180131 3480.833 3314.031 3587.032 3314.031
|
||
|
||
vol amount
|
||
0 8.691925e+11 8.300906e+12
|
||
1 4.421808e+11 3.816145e+12
|
||
2 3.385641e+11 2.804232e+12
|
||
3 2.575119e+11 2.236021e+12
|
||
4 4.052823e+11 3.352502e+12
|
||
5 2.740242e+11 2.449081e+12
|
||
6 2.148359e+11 2.152910e+12
|
||
7 2.821389e+11 2.872973e+12
|
||
8 3.049095e+11 3.259243e+12
|
||
9 2.623979e+11 3.100450e+12
|
||
10 2.979289e+11 3.810441e+12
|
||
11 2.698985e+11 3.372116e+12
|
||
12 3.704084e+11 4.396937e+12
|
||
13 2.888959e+11 3.262255e+12
|
||
14 4.797771e+11 5.772056e+12
|