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feat: multimodal image clients, workspaces, Tushare skill, test fixes
- Replace monolithic image_message_client with HTTP/OCR/legacy modules; tighten OpenAI transport + tool schemas for multimodal downgrade to OCR specialist path. - Add image/stock workspace prompts (META/SOUL/ROLE_SYSTEM); register experts; tweak specialist agent/direct loop/query_image_attachment. - Add bundled runtime/skills/tushare-finance (references, api_client, SKILL metadata). - Document OCR-related env vars; admin chat tweaks; README; weixin_install Ensure-OfficialPluginRuntimeDeps helper. - Tests: multimodal downgrade + OCR coverage, strict tool pairing in attachment replay guard, workspace contract skips _internal/_system dirs, router/trace/prompt guards. Co-authored-by: Cursor <cursoragent@cursor.com>
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runtime/skills/tushare-finance/reference/接口文档/神奇九转指标.md
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runtime/skills/tushare-finance/reference/接口文档/神奇九转指标.md
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# 神奇九转指标
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**文档ID**: 364
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**原始链接**: https://tushare.pro/document/2?doc_id=364
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---
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## 神奇九转指标
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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
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输入参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>必选</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>ts_code</td>
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<td>str</td>
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<td>N</td>
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<td>股票代码</td>
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</tr>
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<tr>
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<td>trade_date</td>
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<td>str</td>
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<td>N</td>
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<td>交易日期 （格式：YYYY-MM-DD HH:MM:SS)</td>
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</tr>
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<tr>
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<td>freq</td>
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<td>str</td>
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<td>N</td>
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<td>频率(日daily)</td>
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</tr>
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<tr>
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<td>start_date</td>
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<td>str</td>
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<td>N</td>
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<td>开始时间</td>
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</tr>
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<tr>
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<td>end_date</td>
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<td>str</td>
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<td>N</td>
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<td>结束时间</td>
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</tr>
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</tbody></table>
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输出参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>默认显示</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>ts_code</td>
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<td>str</td>
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<td>Y</td>
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<td>股票代码</td>
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</tr>
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<tr>
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<td>trade_date</td>
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<td>datetime</td>
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<td>Y</td>
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<td>交易日期</td>
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</tr>
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<tr>
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<td>freq</td>
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<td>str</td>
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<td>Y</td>
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<td>频率(日daily)</td>
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</tr>
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<tr>
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<td>open</td>
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<td>float</td>
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<td>Y</td>
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<td>开盘价</td>
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</tr>
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<tr>
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<td>high</td>
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<td>float</td>
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<td>Y</td>
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<td>最高价</td>
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</tr>
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<tr>
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<td>low</td>
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<td>float</td>
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<td>Y</td>
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<td>最低价</td>
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</tr>
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<tr>
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<td>close</td>
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<td>float</td>
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<td>Y</td>
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<td>收盘价</td>
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</tr>
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<tr>
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<td>vol</td>
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<td>float</td>
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<td>Y</td>
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<td>成交量</td>
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</tr>
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<tr>
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<td>amount</td>
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<td>float</td>
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<td>Y</td>
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<td>成交额</td>
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</tr>
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<tr>
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<td>up_count</td>
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<td>float</td>
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<td>Y</td>
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<td>上九转计数</td>
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</tr>
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<tr>
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<td>down_count</td>
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<td>float</td>
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<td>Y</td>
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<td>下九转计数</td>
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</tr>
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<tr>
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<td>nine_up_turn</td>
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<td>str</td>
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<td>Y</td>
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<td>是否上九转)+9表示上九转</td>
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</tr>
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<tr>
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<td>nine_down_turn</td>
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<td>str</td>
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<td>Y</td>
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<td>是否下九转-9表示下九转</td>
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</tr>
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</tbody></table>
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接口用法
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```
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pro = ts.pro_api()
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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')
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```
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数据样例
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```
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ts_code trade_date freq up_count down_count nine_up_turn nine_down_turn
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0 000001.SZ 2025-01-17 00:00:00 daily 3.0 0.0 None None
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1 000001.SZ 2025-01-16 00:00:00 daily 2.0 0.0 None None
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2 000001.SZ 2025-01-15 00:00:00 daily 1.0 0.0 None None
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3 000001.SZ 2025-01-14 00:00:00 daily 0.0 3.0 None None
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4 000001.SZ 2025-01-13 00:00:00 daily 0.0 2.0 None None
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.. ... ... ... ... ... ... ...
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491 000001.SZ 2023-01-09 00:00:00 daily 1.0 0.0 None None
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492 000001.SZ 2023-01-06 00:00:00 daily 0.0 0.0 None None
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493 000001.SZ 2023-01-05 00:00:00 daily 0.0 0.0 None None
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494 000001.SZ 2023-01-04 00:00:00 daily 0.0 0.0 None None
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495 000001.SZ 2023-01-03 00:00:00 daily 0.0 0.0 None None
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```
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