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>
2.9 KiB
2.9 KiB
神奇九转指标
接口:stk_nineturn(由于涉及分钟数据每天21点更新) 描述:神奇九转(又称“九转序列”)是一种基于技术分析的股票趋势反转指标,其思想来源于技术分析大师汤姆·迪马克(Tom DeMark)的TD序列。该指标的核心功能是通过识别股价在上涨或下跌过程中连续9天的特定走势,来判断股价的潜在反转点,从而帮助投资者提高抄底和逃顶的成功率,日线级别配合60min的九转效果更好,数据从20230101开始。 限量:单次提取最大返回10000行数据,可通过股票代码和日期循环获取全部数据 权限:达到6000积分可以调用
输入参数
| 名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
| ts_code | str | N | 股票代码 |
| trade_date | str | N | 交易日期 (格式:YYYY-MM-DD HH:MM:SS) |
| freq | str | N | 频率(日daily) |
| start_date | str | N | 开始时间 |
| end_date | str | N | 结束时间 |
输出参数
| 名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
| ts_code | str | Y | 股票代码 |
| trade_date | datetime | Y | 交易日期 |
| freq | str | Y | 频率(日daily) |
| open | float | Y | 开盘价 |
| high | float | Y | 最高价 |
| low | float | Y | 最低价 |
| close | float | Y | 收盘价 |
| vol | float | Y | 成交量 |
| amount | float | Y | 成交额 |
| up_count | float | Y | 上九转计数 |
| down_count | float | Y | 下九转计数 |
| nine_up_turn | str | Y | 是否上九转)+9表示上九转 |
| nine_down_turn | str | Y | 是否下九转-9表示下九转 |
接口用法
pro = ts.pro_api()
df=pro.stk_nineturn(ts_code='000001.SZ',freq='daily',fields='ts_code,trade_date,freq,up_count,down_count,nine_up_turn,nine_down_turn')
数据样例
ts_code trade_date freq up_count down_count nine_up_turn nine_down_turn
0 000001.SZ 2025-01-17 00:00:00 daily 3.0 0.0 None None
1 000001.SZ 2025-01-16 00:00:00 daily 2.0 0.0 None None
2 000001.SZ 2025-01-15 00:00:00 daily 1.0 0.0 None None
3 000001.SZ 2025-01-14 00:00:00 daily 0.0 3.0 None None
4 000001.SZ 2025-01-13 00:00:00 daily 0.0 2.0 None None
.. ... ... ... ... ... ... ...
491 000001.SZ 2023-01-09 00:00:00 daily 1.0 0.0 None None
492 000001.SZ 2023-01-06 00:00:00 daily 0.0 0.0 None None
493 000001.SZ 2023-01-05 00:00:00 daily 0.0 0.0 None None
494 000001.SZ 2023-01-04 00:00:00 daily 0.0 0.0 None None
495 000001.SZ 2023-01-03 00:00:00 daily 0.0 0.0 None None