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>
75 lines
2.2 KiB
Markdown
75 lines
2.2 KiB
Markdown
## ETF日线行情
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----
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接口：fund_daily
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描述：获取ETF行情每日收盘后成交数据，历史超过10年
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限量：单次最大2000行记录，可以根据ETF代码和日期循环获取历史，总量不限制
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积分：需要至少5000积分才可以调取，5000积分频次更高，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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ts_code | str | N | 基金代码
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trade_date | str | N | 交易日期(YYYYMMDD格式，下同)
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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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ts_code | str | Y | TS代码
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trade_date | str | Y | 交易日期
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open | float | Y | 开盘价(元)
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high | float | Y | 最高价(元)
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low | float | Y | 最低价(元)
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close | float | Y | 收盘价(元)
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pre_close | float | Y | 昨收盘价(元)
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change | float | Y | 涨跌额(元)
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pct_chg | float | Y | 涨跌幅(%)
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vol | float | Y | 成交量(手)
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amount | float | Y | 成交额(千元)
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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”沪深300ETF华夏”ETF2025年以来的行情，并通过fields参数指定输出了部分字段
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df = pro.fund_daily(ts_code='510330.SH', start_date='20250101', end_date='20250618', fields='trade_date,open,high,low,close,vol,amount')
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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 open high low close vol amount
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0 20250618 4.008 4.024 3.996 4.017 382896.00 153574.446
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1 20250617 4.015 4.022 4.000 4.014 440272.04 176617.125
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2 20250616 4.000 4.018 3.996 4.015 423526.00 169788.251
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3 20250613 4.023 4.028 3.992 4.004 1216787.53 487632.318
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4 20250612 4.023 4.039 4.005 4.032 574727.00 231356.321
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.. ... ... ... ... ... ... ...
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104 20250108 3.971 3.992 3.908 3.963 3200416.00 1267465.456
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105 20250107 3.939 3.974 3.929 3.973 2239739.00 885818.954
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106 20250106 3.950 3.964 3.917 3.943 1583794.00 624004.760
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107 20250103 4.002 4.013 3.944 3.963 2025111.00 805573.289
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108 20250102 4.110 4.117 3.973 4.001 1768592.00 714820.885 |