hansjone/oclaw
1
0
Fork 0
mirror of https://github.com/hansjone/oclaw.git synced 2026-10-20 19:33:39 +08:00
Code Issues Projects Releases Packages Wiki Activity Actions

refactor: move bundled skills tree to repo root skills/

Browse source 
- Relocate runtime/skills -> skills/; runtime_skills_root() prefers oclaw/skills
  with fallback to legacy runtime/skills for unmigrated trees.
- session-bootstrap hook handler resolves repo root via PROJECT_ROOT.
- Update architecture/migration docs and in-tree skill references.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
oliver 2026-05-10 11:35:57 +08:00
parent 396dba76ea
commit beb52006d8
298 changed files with 51 additions and 51 deletions
Download patch file Download diff file Expand all files Collapse all files

170
skills/tushare-finance/reference/接口文档/神奇九转指标.md Normal file
View file

@ -0,0 +1,170 @@
# 神奇九转指标
**文档ID**: 364
**原始链接**: https://tushare.pro/document/2?doc_id=364
---
## 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
<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>必选</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>ts_code</td>
<td>str</td>
<td>N</td>
<td>股票代码</td>
</tr>
<tr>
<td>trade_date</td>
<td>str</td>
<td>N</td>
<td>交易日期 （格式：YYYY-MM-DD HH:MM:SS)</td>
</tr>
<tr>
<td>freq</td>
<td>str</td>
<td>N</td>
<td>频率(日daily)</td>
</tr>
<tr>
<td>start_date</td>
<td>str</td>
<td>N</td>
<td>开始时间</td>
</tr>
<tr>
<td>end_date</td>
<td>str</td>
<td>N</td>
<td>结束时间</td>
</tr>
</tbody></table>
输出参数
<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>默认显示</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>ts_code</td>
<td>str</td>
<td>Y</td>
<td>股票代码</td>
</tr>
<tr>
<td>trade_date</td>
<td>datetime</td>
<td>Y</td>
<td>交易日期</td>
</tr>
<tr>
<td>freq</td>
<td>str</td>
<td>Y</td>
<td>频率(日daily)</td>
</tr>
<tr>
<td>open</td>
<td>float</td>
<td>Y</td>
<td>开盘价</td>
</tr>
<tr>
<td>high</td>
<td>float</td>
<td>Y</td>
<td>最高价</td>
</tr>
<tr>
<td>low</td>
<td>float</td>
<td>Y</td>
<td>最低价</td>
</tr>
<tr>
<td>close</td>
<td>float</td>
<td>Y</td>
<td>收盘价</td>
</tr>
<tr>
<td>vol</td>
<td>float</td>
<td>Y</td>
<td>成交量</td>
</tr>
<tr>
<td>amount</td>
<td>float</td>
<td>Y</td>
<td>成交额</td>
</tr>
<tr>
<td>up_count</td>
<td>float</td>
<td>Y</td>
<td>上九转计数</td>
</tr>
<tr>
<td>down_count</td>
<td>float</td>
<td>Y</td>
<td>下九转计数</td>
</tr>
<tr>
<td>nine_up_turn</td>
<td>str</td>
<td>Y</td>
<td>是否上九转)+9表示上九转</td>
</tr>
<tr>
<td>nine_down_turn</td>
<td>str</td>
<td>Y</td>
<td>是否下九转-9表示下九转</td>
</tr>
</tbody></table>
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
```