skills/业绩预告.md at a65adcc2e5d890ee2dc7938f38e75f6f8ac8f14b

wangyitong a65adcc2e5 Initial commit: merged, deduplicated, and vetted skill collection

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>

2026-07-13 14:47:12 +08:00

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业绩预告

接口：forecast，可以通过数据工具调试和查看数据。描述：获取业绩预告数据权限：用户需要至少2000积分才可以调取，具体请参阅积分获取办法
提示：当前接口只能按单只股票获取其历史数据，如果需要获取某一季度全部上市公司数据，请使用forecast_vip接口（参数一致），需积攒5000积分。

输入参数

名称	类型	必选	描述
ts_code	str	N	股票代码(二选一)
ann_date	str	N	公告日期 (二选一)
start_date	str	N	公告开始日期
end_date	str	N	公告结束日期
period	str	N	报告期(每个季度最后一天的日期，比如20171231表示年报，20170630半年报，20170930三季报)
type	str	N	预告类型(预增/预减/扭亏/首亏/续亏/续盈/略增/略减)

输出参数

名称	类型	描述
ts_code	str	TS股票代码
ann_date	str	公告日期
end_date	str	报告期
type	str	业绩预告类型(预增/预减/扭亏/首亏/续亏/续盈/略增/略减)
p_change_min	float	预告净利润变动幅度下限（%）
p_change_max	float	预告净利润变动幅度上限（%）
net_profit_min	float	预告净利润下限（万元）
net_profit_max	float	预告净利润上限（万元）
last_parent_net	float	上年同期归属母公司净利润
first_ann_date	str	首次公告日
summary	str	业绩预告摘要
change_reason	str	业绩变动原因

接口用法


pro = ts.pro_api()

pro.forecast(ann_date='20190131', fields='ts_code,ann_date,end_date,type,p_change_min,p_change_max,net_profit_min')

获取某一季度全部股票数据


df = pro.forecast_vip(period='20181231',fields='ts_code,ann_date,end_date,type,p_change_min,p_change_max,net_profit_min')

数据样例

       ts_code  ann_date  end_date type  p_change_min  p_change_max  \
0    000005.SZ  20190131  20181231   预增      618.5600      945.1800   
1    000825.SZ  20190131  20181231   略增        3.8500       12.5100   
2    000566.SZ  20190131  20181231   预增       50.0000      100.0000   
3    000932.SZ  20190131  20181231   预增       60.8864       68.1664   
4    000557.SZ  20190131  20181231   预增       66.6800       66.6800   
5    600127.SH  20190131  20181231   首亏     -601.5517     -510.3604   
6    600159.SH  20190131  20181231   预增      315.0000      315.0000   
7    600963.SH  20190131  20181231   略增        2.3800       11.5800   
8    002336.SZ  20190131  20181231   续亏       33.1367       47.9952   
9    601608.SH  20190131  20181231   预增      228.5900      274.5700   
10   600531.SH  20190131  20181231   预减      -61.8800      -54.3200   
11   300200.SZ  20190131  20181231   预增       82.4000      112.4000   
12   300441.SZ  20190131  20181231   略减      -20.5100       -0.6400   
13   300157.SZ  20190131  20181231   扭亏      107.3969      108.5176   
14   300052.SZ  20190131  20181231   略减      -30.0000        0.0000   
15   002328.SZ  20190131  20181231   略增        0.0000       20.0000   
16   300420.SZ  20190131  20181231   预增       61.1500       90.8000   
17   300109.SZ  20190131  20181231   续盈      -13.8100        7.7300   
18   300479.SZ  20190131  20181231   略减      -35.8400       -6.6700   
19   000402.SZ  20190131  20181231   略增        1.0000       10.0000   
20   002626.SZ  20190131  20181231   略增       37.1200       47.6600

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业绩预告

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