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>
127 lines
5.7 KiB
Markdown
127 lines
5.7 KiB
Markdown
## 个股资金流向
|
||
----
|
||
|
||
接口：moneyflow，可以通过[**数据工具**](https://tushare.pro/webclient/)调试和查看数据。
|
||
描述：获取沪深A股票资金流向数据，分析大单小单成交情况，用于判别资金动向，数据开始于2010年。
|
||
限量：单次最大提取6000行记录，总量不限制
|
||
积分：用户需要至少2000积分才可以调取，基础积分有流量控制，积分越多权限越大，请自行提高积分，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 | 股票代码 （股票和时间参数至少输入一个）
|
||
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代码
|
||
trade_date | str | Y | 交易日期
|
||
buy_sm_vol | int | Y | 小单买入量（手）
|
||
buy_sm_amount | float | Y | 小单买入金额（万元）
|
||
sell_sm_vol | int | Y | 小单卖出量（手）
|
||
sell_sm_amount | float | Y | 小单卖出金额（万元）
|
||
buy_md_vol | int | Y | 中单买入量（手）
|
||
buy_md_amount | float | Y | 中单买入金额（万元）
|
||
sell_md_vol | int | Y | 中单卖出量（手）
|
||
sell_md_amount | float | Y | 中单卖出金额（万元）
|
||
buy_lg_vol | int | Y | 大单买入量（手）
|
||
buy_lg_amount | float | Y | 大单买入金额（万元）
|
||
sell_lg_vol | int | Y | 大单卖出量（手）
|
||
sell_lg_amount | float | Y | 大单卖出金额（万元）
|
||
buy_elg_vol | int | Y | 特大单买入量（手）
|
||
buy_elg_amount | float | Y | 特大单买入金额（万元）
|
||
sell_elg_vol | int | Y | 特大单卖出量（手）
|
||
sell_elg_amount | float | Y | 特大单卖出金额（万元）
|
||
net_mf_vol | int | Y | 净流入量（手）
|
||
net_mf_amount | float | Y | 净流入额（万元）
|
||
|
||
<br>
|
||
|
||
各类别统计规则如下：
|
||
**小单**：5万以下 **中单**：5万～20万 **大单**：20万～100万 **特大单**：成交额>=100万 ，数据基于主动买卖单统计
|
||
|
||
|
||
<br>
|
||
<br>
|
||
|
||
**接口示例**
|
||
|
||
```python
|
||
|
||
pro = ts.pro_api('your token')
|
||
|
||
#获取单日全部股票数据
|
||
df = pro.moneyflow(trade_date='20190315')
|
||
|
||
#获取单个股票数据
|
||
df = pro.moneyflow(ts_code='002149.SZ', start_date='20190115', end_date='20190315')
|
||
|
||
|
||
```
|
||
|
||
|
||
<br>
|
||
<br>
|
||
|
||
**数据示例**
|
||
|
||
|
||
ts_code trade_date buy_sm_vol buy_sm_amount sell_sm_vol \
|
||
0 000779.SZ 20190315 11377 1150.17 11100
|
||
1 000933.SZ 20190315 94220 4803.22 105924
|
||
2 002270.SZ 20190315 43979 2330.96 45893
|
||
3 002319.SZ 20190315 21502 2952.88 17155
|
||
4 002604.SZ 20190315 31944 607.35 58667
|
||
5 300065.SZ 20190315 16048 2294.71 16425
|
||
6 600062.SH 20190315 55439 7432.13 65765
|
||
7 002735.SZ 20190315 3220 797.10 4598
|
||
8 300196.SZ 20190315 12534 1286.02 8340
|
||
9 300350.SZ 20190315 15346 1120.12 18853
|
||
10 600193.SH 20190315 12183 503.73 19576
|
||
11 002866.SZ 20190315 16932 2213.68 16037
|
||
12 300481.SZ 20190315 21386 4275.33 21863
|
||
13 600527.SH 20190315 115462 2975.44 79272
|
||
14 603980.SH 20190315 13957 1924.69 11718
|
||
15 600658.SH 20190315 71767 4826.73 69535
|
||
16 600812.SH 20190315 26140 1247.47 34923
|
||
17 002013.SZ 20190315 170234 12286.02 148509
|
||
18 600789.SH 20190315 211012 21644.56 150598
|
||
19 601636.SH 20190315 70737 3117.43 68073
|
||
20 000807.SZ 20190315 129668 6361.06 122077
|
||
|
||
...
|
||
|
||
sell_sm_amount buy_md_vol buy_md_amount sell_md_vol sell_md_amount \
|
||
0 1122.97 13012 1316.72 14812 1498.90
|
||
1 5411.72 135976 6935.40 154023 7863.00
|
||
2 2435.98 57679 3059.15 47279 2507.55
|
||
3 2358.68 27245 3742.52 26708 3670.05
|
||
4 1114.40 69897 1327.41 41108 781.19
|
||
5 2353.34 31232 4472.05 26771 3834.95
|
||
6 8817.75 86617 11615.40 79551 10676.99
|
||
7 1140.61 4602 1141.61 2730 676.72
|
||
8 855.45 9401 963.72 10478 1074.32
|
||
9 1380.31 24224 1770.90 21588 1577.92
|
||
10 812.58 28696 1185.17 31087 1286.11
|
||
11 2100.70 19197 2511.62 20269 2650.56
|
||
12 4379.14 31692 6345.72 32873 6578.36
|
||
13 2046.54 107103 2763.00 84883 2191.24
|
||
14 1619.33 14621 2019.41 14528 2005.69
|
||
15 4691.29 92788 6232.80 93273 6280.13
|
||
16 1669.97 38812 1855.78 39211 1874.05
|
||
17 10726.22 154979 11190.69 164090 11855.76
|
||
18 15479.08 269470 27660.18 236958 24338.36
|
||
19 3000.73 90416 3984.68 115162 5075.50
|
||
20 5999.66 175692 8627.77 178044 8751.08 |