oclaw/runtime/skills/tushare-finance/reference/接口文档/国债实际收益率曲线利率.md
oliver d1bcc4debe feat: multimodal image clients, workspaces, Tushare skill, test fixes
- Replace monolithic image_message_client with HTTP/OCR/legacy modules; tighten OpenAI transport + tool schemas for multimodal downgrade to OCR specialist path.
- Add image/stock workspace prompts (META/SOUL/ROLE_SYSTEM); register experts; tweak specialist agent/direct loop/query_image_attachment.
- Add bundled runtime/skills/tushare-finance (references, api_client, SKILL metadata).
- Document OCR-related env vars; admin chat tweaks; README; weixin_install Ensure-OfficialPluginRuntimeDeps helper.
- Tests: multimodal downgrade + OCR coverage, strict tool pairing in attachment replay guard, workspace contract skips _internal/_system dirs, router/trace/prompt guards.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-10 04:41:42 +08:00

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# 国债实际收益率曲线利率
**文档ID**: 220
**原始链接**: https://tushare.pro/document/2?doc_id=220
---
## 国债实际收益率曲线利率
接口:us_trycr描述:国债实际收益率曲线利率限量:单次最大可获取2000行数据,可循环获取权限:用户积累120积分可以使用,积分越高频次越高。具体请参阅积分获取办法
输入参数
<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>必选</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>date</td>
<td>str</td>
<td>N</td>
<td>日期 (YYYYMMDD格式,下同)</td>
</tr>
<tr>
<td>start_date</td>
<td>str</td>
<td>N</td>
<td>开始日期</td>
</tr>
<tr>
<td>end_date</td>
<td>str</td>
<td>N</td>
<td>结束日期</td>
</tr>
<tr>
<td>fields</td>
<td>str</td>
<td>N</td>
<td>指定输出字段</td>
</tr>
</tbody></table>
输出参数
<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>默认显示</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>date</td>
<td>str</td>
<td>Y</td>
<td>日期</td>
</tr>
<tr>
<td>y5</td>
<td>float</td>
<td>Y</td>
<td>5年期</td>
</tr>
<tr>
<td>y7</td>
<td>float</td>
<td>Y</td>
<td>7年期</td>
</tr>
<tr>
<td>y10</td>
<td>float</td>
<td>Y</td>
<td>10年期</td>
</tr>
<tr>
<td>y20</td>
<td>float</td>
<td>Y</td>
<td>20年期</td>
</tr>
<tr>
<td>y30</td>
<td>float</td>
<td>Y</td>
<td>30年期</td>
</tr>
</tbody></table>
接口调用
```
pro = ts.pro_api()
df = pro.us_trycr(start_date='20180101', end_date='20200327')
#获取5年期和20年期数据
df = pro.us_trycr(start_date='20180101', end_date='20200327', fields='y5,y20')
```
数据样例
```
date y5 y7 y10 y20 y30
0 20200327 -0.13 -0.20 -0.22 -0.12 -0.03
1 20200326 -0.21 -0.24 -0.24 -0.14 -0.05
2 20200325 -0.13 -0.18 -0.19 -0.09 0.00
3 20200324 -0.03 -0.11 -0.13 -0.09 -0.07
4 20200323 0.01 -0.03 -0.04 -0.02 -0.01
... ... ... ... ... ... ...
1995 20120404 -0.91 -0.46 -0.05 0.62 0.94
1996 20120403 -0.94 -0.48 -0.06 0.62 0.94
1997 20120402 -1.01 -0.55 -0.14 0.56 0.89
1998 20120330 -0.98 -0.53 -0.09 0.61 0.93
1999 20120329 -0.98 -0.53 -0.13 0.55 0.87
```