skills/每日指标.md at main

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

3.5 KiB

Raw Permalink Blame History

每日指标

接口：daily_basic，可以通过数据工具调试和查看数据。更新时间：交易日每日15点～17点之间描述：获取全部股票每日重要的基本面指标，可用于选股分析、报表展示等。单次请求最大返回6000条数据，可按日线循环提取全部历史。积分：至少2000积分才可以调取，5000积分无总量限制，具体请参阅积分获取办法

输入参数

名称	类型	必选	描述
ts_code	str	Y	股票代码（二选一）
trade_date	str	N	交易日期（二选一）
start_date	str	N	开始日期(YYYYMMDD)
end_date	str	N	结束日期(YYYYMMDD)

注：日期都填YYYYMMDD格式，比如20181010

输出参数

名称	类型	描述
ts_code	str	TS股票代码
trade_date	str	交易日期
close	float	当日收盘价
turnover_rate	float	换手率（%）
turnover_rate_f	float	换手率（自由流通股）
volume_ratio	float	量比
pe	float	市盈率（总市值/净利润，亏损的PE为空）
pe_ttm	float	市盈率（TTM，亏损的PE为空）
pb	float	市净率（总市值/净资产）
ps	float	市销率
ps_ttm	float	市销率（TTM）
dv_ratio	float	股息率（%）
dv_ttm	float	股息率（TTM）（%）
total_share	float	总股本（万股）
float_share	float	流通股本（万股）
free_share	float	自由流通股本（万）
total_mv	float	总市值（万元）
circ_mv	float	流通市值（万元）

接口用法


pro = ts.pro_api()

df = pro.daily_basic(ts_code='', trade_date='20180726', fields='ts_code,trade_date,turnover_rate,volume_ratio,pe,pb')

或者


df = pro.query('daily_basic', ts_code='', trade_date='20180726',fields='ts_code,trade_date,turnover_rate,volume_ratio,pe,pb')

数据样例

	ts_code     trade_date  turnover_rate  volume_ratio        pe       pb
0     600230.SH   20180726         2.4584          0.72    8.6928   3.7203
1     600237.SH   20180726         1.4737          0.88  166.4001   1.8868
2     002465.SZ   20180726         0.7489          0.72   71.8943   2.6391
3     300732.SZ   20180726         6.7083          0.77   21.8101   3.2513
4     600007.SH   20180726         0.0381          0.61   23.7696   2.3774
5     300068.SZ   20180726         1.4583          0.52   27.8166   1.7549
6     300552.SZ   20180726         2.0728          0.95   56.8004   2.9279
7     601369.SH   20180726         0.2088          0.95   44.1163   1.8001
8     002518.SZ   20180726         0.5814          0.76   15.1004   2.5626
9     002913.SZ   20180726        12.1096          1.03   33.1279   2.9217
10    601818.SH   20180726         0.1893          0.86    6.3064   0.7209
11    600926.SH   20180726         0.6065          0.46    9.1772   0.9808
12    002166.SZ   20180726         0.7582          0.82   16.9868   3.3452
13    600841.SH   20180726         0.3754          1.02   66.2647   2.2302
14    300634.SZ   20180726        23.1127          1.26  120.3053  14.3168
15    300126.SZ   20180726         1.2304          1.11  348.4306   1.5171
16    300718.SZ   20180726        17.6612          0.92   32.0239   3.8661
17    000708.SZ   20180726         0.5575          0.70   10.3674   1.0276
18    002626.SZ   20180726         0.6187          0.83   22.7580   4.2446
19    600816.SH   20180726         0.6745          0.65   11.0778   3.2214

3.5 KiB Raw Permalink Blame History Unescape Escape

每日指标

3.5 KiB

Raw Permalink Blame History