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>
3.6 KiB
3.6 KiB
Libor拆借利率
接口：libor 描述：Libor拆借利率 限量：单次最大4000行数据，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
Libor（London Interbank Offered Rate ），即伦敦同业拆借利率，是指伦敦的第一流银行之间短期资金借贷的利率，是国际金融市场中大多数浮动利率的基础利率。作为银行从市场上筹集资金进行转贷的融资成本，贷款协议中议定的LIBOR通常是由几家指定的参考银行，在规定的时间（一般是伦敦时间上午11：00）报价的平均利率。
输入参数
| 名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
| date | str | N | 日期 (日期输入格式：YYYYMMDD，下同) |
| start_date | str | N | 开始日期 |
| end_date | str | N | 结束日期 |
| curr_type | str | N | 货币代码 (USD美元 EUR欧元 JPY日元 GBP英镑 CHF瑞郎，默认是USD) |
输出参数
| 名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
| date | str | Y | 日期 |
| curr_type | str | Y | 货币 |
| on | float | Y | 隔夜 |
| 1w | float | Y | 1周 |
| 1m | float | Y | 1个月 |
| 2m | float | Y | 2个月 |
| 3m | float | Y | 3个月 |
| 6m | float | Y | 6个月 |
| 12m | float | Y | 12个月 |
接口调用
pro = ts.pro_api()
df = pro.libor(curr_type='USD', start_date='20180101', end_date='20181130')
数据样例
date curr_type on 1w 1m 2m 3m 6m \
0 20181130 USD 2.17750 2.22131 2.34694 2.51006 2.73613 2.89463
1 20181129 USD 2.18275 2.22881 2.34925 2.51125 2.73813 2.88519
2 20181128 USD 2.18250 2.22450 2.34463 2.49500 2.70663 2.88663
3 20181127 USD 2.17850 2.23494 2.34931 2.49900 2.70600 2.88444
4 20181126 USD 2.18300 2.21900 2.33675 2.49525 2.70681 2.89275
5 20181123 USD 2.17700 2.22188 2.32188 2.49538 2.69119 2.88625
6 20181122 USD NaN 2.22213 2.31488 2.48013 2.68925 2.88725
7 20181121 USD 2.18050 2.22100 2.31513 2.47313 2.67694 2.88588
8 20181120 USD 2.17288 2.21638 2.30550 2.45850 2.65313 2.86325
9 20181119 USD 2.18075 2.21725 2.30025 2.45769 2.64581 2.86575
10 20181116 USD 2.17538 2.21225 2.30088 2.45213 2.64450 2.86263
11 20181115 USD 2.17938 2.21125 2.30250 2.44913 2.64000 2.86019
12 20181114 USD 2.17575 2.20963 2.31038 2.44531 2.62900 2.86344
13 20181113 USD 2.17788 2.21613 2.30650 2.44413 2.61613 2.85500
14 20181112 USD NaN 2.21550 2.30663 2.44525 2.61413 2.85538
15 20181109 USD 2.17500 2.21913 2.31438 2.45513 2.61813 2.85800
16 20181108 USD 2.17988 2.21619 2.31844 2.45863 2.61463 2.85763
17 20181107 USD 2.17725 2.21588 2.31531 2.44550 2.60113 2.84350
18 20181106 USD 2.17663 2.21138 2.31688 2.42863 2.59125 2.84150
19 20181105 USD 2.17525 2.21425 2.31600 2.42950 2.58925 2.83575
20 20181102 USD 2.17463 2.21400 2.31788 2.42625 2.59238 2.82888
12m
0 3.12025
1 3.11869
2 3.13413
3 3.13075
4 3.12838
5 3.12075
6 3.10950
7 3.11038
8 3.09713
9 3.10738
10 3.12363
11 3.11838
12 3.12963
13 3.13206
14 3.13475
15 3.14413
16 3.14075
17 3.12513
18 3.11638
19 3.11688
20 3.10488