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>
85 lines
2.5 KiB
Markdown
85 lines
2.5 KiB
Markdown
## ETF历史分钟行情
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----
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接口:stk_mins
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描述:获取ETF分钟数据,支持1min/5min/15min/30min/60min行情,提供Python SDK和 http Restful API两种方式
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限量:单次最大8000行数据,可以通过股票代码和时间循环获取,本接口可以提供超过10年ETF历史分钟数据
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权限:正式权限请参阅 <u>[权限说明](https://tushare.pro/document/1?doc_id=290) </u>
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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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ts_code | str | Y | ETF代码,e.g. 159001.SZ
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freq | str | Y | 分钟频度(1min/5min/15min/30min/60min)
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start_date | datetime | N | 开始日期 格式:2025-06-01 09:00:00
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end_date | datetime | N | 结束时间 格式:2025-06-20 19:00:00
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<br>
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<br>
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**freq参数说明**
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freq | 说明
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--- | ----
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1min | 1分钟
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5min | 5分钟
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15min | 15分钟
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30min | 30分钟
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60min | 60分钟
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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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ts_code | str | Y | ETF代码
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trade_time | str | Y | 交易时间
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open | float | Y | 开盘价
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close | float | Y | 收盘价
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high | float | Y | 最高价
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low | float | Y | 最低价
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vol | int | Y | 成交量
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amount | float | Y | 成交金额
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<br>
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<br>
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**接口用法**
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```python
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pro = ts.pro_api()
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#获取沪深300ETF华夏510330.SH的历史分钟数据
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df = pro.stk_mins(ts_code='510330.SH', freq='1min', start_date='2025-06-20 09:00:00', end_date='2025-06-20 19:00:00')
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```
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<br>
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<br>
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**数据样例**
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ts_code trade_time close open high low vol amount
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0 510330.SH 2025-06-20 15:00:00 3.991 3.991 3.992 3.990 800600.0 3194805.0
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1 510330.SH 2025-06-20 14:59:00 3.991 3.990 3.991 3.989 182500.0 728177.0
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2 510330.SH 2025-06-20 14:58:00 3.990 3.992 3.992 3.990 113700.0 453763.0
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3 510330.SH 2025-06-20 14:57:00 3.992 3.992 3.992 3.991 17400.0 69460.0
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4 510330.SH 2025-06-20 14:56:00 3.992 3.992 3.992 3.991 447500.0 1786373.0
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.. ... ... ... ... ... ... ... ...
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236 510330.SH 2025-06-20 09:34:00 3.994 3.994 3.995 3.994 2528100.0 10097818.0
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237 510330.SH 2025-06-20 09:33:00 3.994 3.991 3.994 3.991 143300.0 572084.0
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238 510330.SH 2025-06-20 09:32:00 3.992 3.990 3.993 3.990 1118500.0 4463264.0
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239 510330.SH 2025-06-20 09:31:00 3.988 3.984 3.992 3.984 1176100.0 4691600.0
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240 510330.SH 2025-06-20 09:30:00 3.983 3.983 3.983 3.983 20700.0 82448.0
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