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
大盘资金流向（DC）
接口：moneyflow_mkt_dc 描述：获取东方财富大盘资金流向数据，每日盘后更新 限量：单次最大3000条，可根据日期或日期区间循环获取 积分：120积分可试用，5000积分可正式调取，具体请参阅积分获取办法
**输入参数**
| 名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
| trade_date | str | N | 交易日期(YYYYMMDD格式，下同） |
| start_date | str | N | 开始日期 |
| end_date | str | N | 结束日期 |
输出参数
| 名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
| trade_date | str | Y | 交易日期 |
| close_sh | float | Y | 上证收盘价（点） |
| pct_change_sh | float | Y | 上证涨跌幅(%) |
| close_sz | float | Y | 深证收盘价（点） |
| pct_change_sz | float | Y | 深证涨跌幅(%) |
| net_amount | float | Y | 今日主力净流入 净额（元） |
| net_amount_rate | float | Y | 今日主力净流入净占比% |
| buy_elg_amount | float | Y | 今日超大单净流入 净额（元） |
| buy_elg_amount_rate | float | Y | 今日超大单净流入 净占比% |
| buy_lg_amount | float | Y | 今日大单净流入 净额（元） |
| buy_lg_amount_rate | float | Y | 今日大单净流入 净占比% |
| buy_md_amount | float | Y | 今日中单净流入 净额（元） |
| buy_md_amount_rate | float | Y | 今日中单净流入 净占比% |
| buy_sm_amount | float | Y | 今日小单净流入 净额（元） |
| buy_sm_amount_rate | float | Y | 今日小单净流入 净占比% |
接口示例
#获取当日所有板块资金流向
df = pro.moneyflow_mkt_dc(start_date='20240901', end_date='20240930')
数据示例
trade_date close_sh ptc_change_sh close_sz pct_change_sz buy_elg_amount buy_lg_amount
0 20240930 3336.50 8.06 10529.76 10.67 -6500884480.00 -29199228928.00
1 20240927 3087.53 2.89 9514.86 6.71 17175101440.00 -3564773376.00
2 20240926 3000.95 3.61 8916.65 4.44 18894807552.00 -2446319616.00
3 20240925 2896.31 1.16 8537.73 1.21 -4010342144.00 -10390331392.00
4 20240924 2863.13 4.15 8435.70 4.36 22524846080.00 5433212928.00
5 20240923 2748.92 0.44 8083.38 0.10 -926530816.00 -5776028928.00
6 20240920 2736.81 0.03 8075.14 -0.15 -4991644160.00 -6899648256.00
7 20240919 2736.02 0.69 8087.60 1.19 3472006400.00 1882220032.00
8 20240918 2717.28 0.49 7992.25 0.11 -5056087040.00 -7836610048.00
9 20240913 2704.09 -0.48 7983.55 -0.88 -5527845376.00 -9092720640.00
10 20240912 2717.12 -0.17 8054.24 -0.63 -3747197184.00 -5645509632.00
11 20240911 2721.80 -0.82 8105.38 0.39 -3585276416.00 -6461025792.00
12 20240910 2744.19 0.28 8073.83 0.13 -2726709504.00 -3818158336.00
13 20240909 2736.49 -1.06 8063.27 -0.83 -7874987776.00 -8608827904.00
14 20240906 2765.81 -0.81 8130.77 -1.44 -5892936960.00 -13908542976.00
15 20240905 2788.31 0.14 8249.66 0.28 1211718400.00 -3910650112.00
16 20240904 2784.28 -0.67 8226.24 -0.51 -7008298240.00 -11212970496.00
17 20240903 2802.98 -0.29 8268.05 1.17 263304192.00 -3680828928.00
18 20240902 2811.04 -1.10 8172.21 -2.11 -18689678336.00 -20967354368.00