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>
68 lines
2.2 KiB
Markdown
68 lines
2.2 KiB
Markdown
## 个股资金流向(THS)
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----
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接口:moneyflow_ths
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描述:获取同花顺个股资金流向数据,每日盘后更新
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限量:单次最大6000,可根据日期或股票代码循环提取数据
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积分:用户需要至少5000积分才可以调取,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 | 股票代码
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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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trade_date | str | Y | 交易日期
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ts_code | str | Y | 股票代码
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name | str | Y | 股票名称
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pct_change | float | Y | 涨跌幅
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latest | float | Y | 最新价
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net_amount | float | Y | 资金净流入(万元)
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net_d5_amount | float | Y | 5日主力净额(万元)
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buy_lg_amount | float | Y | 今日大单净流入额(万元)
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buy_lg_amount_rate | float | Y | 今日大单净流入占比(%)
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buy_md_amount | float | Y | 今日中单净流入额(万元)
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buy_md_amount_rate | float | Y | 今日中单净流入占比(%)
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buy_sm_amount | float | Y | 今日小单净流入额(万元)
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buy_sm_amount_rate | float | Y | 今日小单净流入占比(%)
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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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#获取单日全部股票数据
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df = pro.moneyflow_ths(trade_date='20241011')
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#获取单个股票数据
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df = pro.moneyflow_ths(ts_code='002149.SZ', start_date='20241001', end_date='20241011')
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```
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trade_date ts_code name pct_change ... buy_md_amount buy_md_amount_rate buy_sm_amount buy_sm_amount_rate
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0 20241011 002149.SZ 西部材料 2.47 ... -589.0 5.43 -191.0 1.76
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1 20241010 002149.SZ 西部材料 1.22 ... -2732.0 15.38 -1031.0 5.81
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2 20241009 002149.SZ 西部材料 7.00 ... -1941.0 9.25 -2079.0 9.90
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3 20241008 002149.SZ 西部材料 5.17 ... -2985.0 7.93 -2507.0 6.66
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<br>
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<br> |