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>
96 lines
3.4 KiB
Markdown
96 lines
3.4 KiB
Markdown
## 指数周线行情
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----
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接口:index_weekly
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描述:获取指数周线行情
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限量:单次最大1000行记录,可分批获取,总量不限制
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积分:用户需要至少600积分才可以调取,积分越多频次越高,具体请参阅[积分获取办法](https://tushare.pro/document/1?doc_id=13)
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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 | TS代码
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trade_date | str | N | 交易日期
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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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**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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ts_code | str | Y | TS指数代码
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trade_date | str | Y | 交易日
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close | float | Y | 收盘点位
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open | float | Y | 开盘点位
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high | float | Y | 最高点位
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low | float | Y | 最低点位
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pre_close | float | Y | 昨日收盘点
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change | float | Y | 涨跌点位
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pct_chg | float | Y | 涨跌幅
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vol | float | Y |成交量(手)
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amount | float | Y | 成交额(千元)
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**接口用法**
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```python
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pro = ts.pro_api()
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df = pro.index_weekly(ts_code='000001.SH', start_date='20180101', end_date='20190329', fields='ts_code,trade_date,open,high,low,close,vol,amount')
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```
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或者
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```python
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df = pro.index_weekly(trade_date='20190329', fields='ts_code,trade_date,open,high,low,close,vol,amount')
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```
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**数据样例**
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ts_code trade_date close open high low \
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0 000001.SH 20190329 3090.7580 3058.8016 3093.0329 2987.7717
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1 000001.SH 20190322 3104.1487 3027.8012 3125.0192 3009.5071
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2 000001.SH 20190315 3021.7512 2969.0802 3093.3913 2963.5834
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3 000001.SH 20190308 2969.8614 3015.9427 3129.9395 2969.5815
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4 000001.SH 20190301 2994.0050 2838.3896 2997.4882 2838.3896
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5 000001.SH 20190222 2804.2262 2699.8171 2804.2262 2699.8171
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6 000001.SH 20190215 2682.3850 2613.1742 2729.4550 2613.1742
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7 000001.SH 20190201 2618.2323 2615.7118 2630.3183 2559.9820
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8 000001.SH 20190125 2601.7234 2599.0575 2618.9801 2569.7004
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9 000001.SH 20190118 2596.0056 2553.3284 2598.8836 2532.4333
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10 000001.SH 20190111 2553.8313 2528.6987 2574.4079 2515.5083
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11 000001.SH 20190104 2514.8682 2497.8805 2515.3160 2440.9066
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12 000001.SH 20181228 2493.8962 2506.7372 2532.0022 2462.8448
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13 000001.SH 20181221 2516.2506 2587.2632 2599.1479 2498.6937
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14 000001.SH 20181214 2593.7407 2589.1940 2645.8367 2576.2424
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15 000001.SH 20181207 2605.8876 2647.1319 2666.0784 2599.2775
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16 000001.SH 20181130 2588.1875 2580.8424 2617.5479 2555.3223
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17 000001.SH 20181123 2579.4831 2681.8988 2703.5116 2577.3511
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18 000001.SH 20181116 2679.1097 2593.2004 2695.5689 2590.2106
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vol amount
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0 1.688357e+11 1.688151e+12
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1 1.886363e+11 1.861600e+12
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2 2.104949e+11 2.043644e+12
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3 2.666471e+11 2.400174e+12
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4 2.265186e+11 1.976327e+12
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5 1.394586e+11 1.194304e+12
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6 9.758357e+10 8.413281e+11
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7 7.093562e+10 5.928545e+11
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8 7.608258e+10 6.350025e+11
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9 8.076279e+10 6.593113e+11
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10 8.366105e+10 6.847728e+11
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11 4.032072e+10 3.438140e+11
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12 6.014621e+10 5.129771e+11
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13 5.782961e+10 5.008462e+11
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14 6.147029e+10 5.296716e+11
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15 7.806582e+10 6.925260e+11
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16 7.004342e+10 5.716554e+11
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17 9.709342e+10 8.023547e+11
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18 1.112811e+11 8.857952e+11 |