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- Relocate runtime/skills -> skills/; runtime_skills_root() prefers oclaw/skills with fallback to legacy runtime/skills for unmigrated trees. - session-bootstrap hook handler resolves repo root via PROJECT_ROOT. - Update architecture/migration docs and in-tree skill references. Co-authored-by: Cursor <cursoragent@cursor.com>
151 lines
4.4 KiB
Markdown
151 lines
4.4 KiB
Markdown
# Shibor利率
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**文档ID**: 149
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**原始链接**: https://tushare.pro/document/2?doc_id=149
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---
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## Shibor利率数据
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接口：shibor描述：shibor利率限量：单次最大2000，总量不限制，可通过设置开始和结束日期分段获取积分：用户积累120积分可以调取，具体请参阅积分获取办法
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Shibor利率介绍
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上海银行间同业拆放利率（Shanghai Interbank Offered Rate，简称Shibor），以位于上海的全国银行间同业拆借中心为技术平台计算、发布并命名，是由信用等级较高的银行组成报价团自主报出的人民币同业拆出利率计算确定的算术平均利率，是单利、无担保、批发性利率。目前，对社会公布的Shibor品种包括隔夜、1周、2周、1个月、3个月、6个月、9个月及1年。
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Shibor报价银行团现由18家商业银行组成。报价银行是公开市场一级交易商或外汇市场做市商，在中国货币市场上人民币交易相对活跃、信息披露比较充分的银行。中国人民银行成立Shibor工作小组，依据《上海银行间同业拆放利率（Shibor）实施准则》确定和调整报价银行团成员、监督和管理Shibor运行、规范报价行与指定发布人行为。
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全国银行间同业拆借中心受权Shibor的报价计算和信息发布。每个交易日根据各报价行的报价，剔除最高、最低各4家报价，对其余报价进行算术平均计算后，得出每一期限品种的Shibor，并于11:00对外发布。
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输入参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>必选</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>date</td>
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<td>str</td>
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<td>N</td>
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<td>日期 (日期输入格式：YYYYMMDD，下同)</td>
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</tr>
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<tr>
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<td>start_date</td>
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<td>str</td>
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<td>N</td>
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<td>开始日期</td>
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</tr>
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<tr>
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<td>end_date</td>
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<td>str</td>
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<td>N</td>
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<td>结束日期</td>
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</tr>
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</tbody></table>
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输出参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>默认显示</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>date</td>
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<td>str</td>
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<td>Y</td>
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<td>日期</td>
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</tr>
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<tr>
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<td>on</td>
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<td>float</td>
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<td>Y</td>
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<td>隔夜</td>
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</tr>
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<tr>
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<td>1w</td>
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<td>float</td>
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<td>Y</td>
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<td>1周</td>
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</tr>
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<tr>
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<td>2w</td>
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<td>float</td>
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<td>Y</td>
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<td>2周</td>
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</tr>
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<tr>
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<td>1m</td>
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<td>float</td>
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<td>Y</td>
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<td>1个月</td>
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</tr>
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<tr>
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<td>3m</td>
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<td>float</td>
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<td>Y</td>
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<td>3个月</td>
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</tr>
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<tr>
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<td>6m</td>
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<td>float</td>
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<td>Y</td>
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<td>6个月</td>
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</tr>
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<tr>
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<td>9m</td>
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<td>float</td>
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<td>Y</td>
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<td>9个月</td>
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</tr>
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<tr>
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<td>1y</td>
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<td>float</td>
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<td>Y</td>
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<td>1年</td>
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</tr>
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</tbody></table>
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接口调用
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```
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pro = ts.pro_api()
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df = pro.shibor(start_date='20180101', end_date='20181101')
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```
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数据样例
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```
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date on 1w 2w 1m 3m 6m 9m 1y
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0 20181101 2.5470 2.6730 2.6910 2.6960 2.9760 3.2970 3.5040 3.5500
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1 20181031 2.3700 2.7150 2.7300 2.6890 2.9630 3.2980 3.5040 3.5500
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2 20181030 1.5660 2.5980 2.6400 2.6630 2.9570 3.2950 3.5010 3.5500
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3 20181029 1.8520 2.6090 2.6510 2.6720 2.9580 3.2970 3.5020 3.5500
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4 20181026 2.0670 2.6180 2.6500 2.6730 2.9520 3.2970 3.5020 3.5500
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5 20181025 2.2150 2.6300 2.6510 2.6750 2.9480 3.2970 3.5050 3.5520
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6 20181024 2.3930 2.6310 2.6530 2.6750 2.9240 3.2960 3.4980 3.5440
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7 20181023 2.4510 2.6350 2.6530 2.6720 2.9030 3.2890 3.4880 3.5320
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8 20181022 2.4750 2.6320 2.6500 2.6630 2.8710 3.2770 3.4710 3.5160
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9 20181019 2.4450 2.6220 2.6480 2.6550 2.8420 3.2670 3.4560 3.5070
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10 20181018 2.4270 2.6110 2.6370 2.6510 2.8320 3.2600 3.4530 3.5040
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11 20181017 2.3530 2.6040 2.6320 2.6510 2.8180 3.2540 3.4500 3.5050
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12 20181016 2.3730 2.6030 2.6330 2.6580 2.8000 3.2530 3.4500 3.5050
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13 20181015 2.3770 2.6120 2.6370 2.6680 2.8010 3.2530 3.4510 3.5050
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14 20181012 2.4390 2.6150 2.6440 2.6820 2.8000 3.2500 3.4530 3.5050
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15 20181011 2.3600 2.6110 2.6500 2.6920 2.8010 3.2510 3.4550 3.5060
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16 20181010 2.3980 2.6180 2.6730 2.7050 2.8100 3.2530 3.4590 3.5020
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17 20181009 2.5020 2.6330 2.7030 2.7340 2.8160 3.2580 3.4640 3.5040
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18 20181008 2.5360 2.6570 2.7660 2.7810 2.8360 3.2690 3.4760 3.5120
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19 20180930 2.6530 2.7660 3.4730 2.8020 2.8470 3.2870 3.4890 3.5210
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20 20180929 2.0730 2.7830 3.3100 2.8020 2.8460 3.2850 3.4890 3.5210
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```
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