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- 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>
144 lines
3.8 KiB
Markdown
144 lines
3.8 KiB
Markdown
# 龙虎榜机构交易单
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**文档ID**: 107
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**原始链接**: https://tushare.pro/document/2?doc_id=107
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---
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## 龙虎榜机构明细
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接口：top_inst描述：龙虎榜机构成交明细限量：单次请求最大返回10000行数据，可根据参数循环获取全部历史积分：用户需要至少5000积分才可以调取，具体请参阅积分获取办法
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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>trade_date</td>
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<td>str</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>ts_code</td>
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<td>str</td>
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<td>N</td>
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<td>TS代码</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>trade_date</td>
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<td>str</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>ts_code</td>
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<td>str</td>
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<td>Y</td>
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<td>TS代码</td>
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</tr>
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<tr>
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<td>exalter</td>
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<td>str</td>
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<td>Y</td>
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<td>营业部名称</td>
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</tr>
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<tr>
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<td>side</td>
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<td>str</td>
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<td>Y</td>
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<td>买卖类型0：买入金额最大的前5名， 1：卖出金额最大的前5名</td>
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</tr>
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<tr>
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<td>buy</td>
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<td>float</td>
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<td>Y</td>
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<td>买入额（元）</td>
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</tr>
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<tr>
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<td>buy_rate</td>
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<td>float</td>
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<td>Y</td>
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<td>买入占总成交比例</td>
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</tr>
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<tr>
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<td>sell</td>
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<td>float</td>
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<td>Y</td>
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<td>卖出额（元）</td>
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</tr>
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<tr>
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<td>sell_rate</td>
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<td>float</td>
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<td>Y</td>
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<td>卖出占总成交比例</td>
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</tr>
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<tr>
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<td>net_buy</td>
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<td>float</td>
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<td>Y</td>
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<td>净成交额（元）</td>
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</tr>
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<tr>
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<td>reason</td>
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<td>str</td>
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<td>Y</td>
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<td>上榜理由</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.top_inst(trade_date='20210525')
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或者
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df = pro.query('top_inst', trade_date='20210524', ts_code='000592.SZ', fileds='trade_date,buy,sell,side,reason')
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```
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```
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trade_date buy sell side reason
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0 20210524 19627524.05 25593683.67 0 涨幅偏离值达7%的证券
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1 20210524 9091252.00 18009704.00 0 涨幅偏离值达7%的证券
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2 20210524 35168640.99 13344062.12 0 涨幅偏离值达7%的证券
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3 20210524 18812912.60 12121352.00 0 涨幅偏离值达7%的证券
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4 20210524 1684986.00 12076417.00 0 涨幅偏离值达7%的证券
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5 20210524 37071259.81 3956982.00 1 涨幅偏离值达7%的证券
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6 20210524 35168640.99 13344062.12 1 涨幅偏离值达7%的证券
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7 20210524 21487772.44 84795.00 1 涨幅偏离值达7%的证券
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8 20210524 19627524.05 25593683.67 1 涨幅偏离值达7%的证券
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9 20210524 18812912.60 12121352.00 1 涨幅偏离值达7%的证券
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10 20210524 28720777.05 53009929.06 0 连续三个交易日内，涨幅偏离值累计达20%的证券
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11 20210524 35504648.99 46382533.92 0 连续三个交易日内，涨幅偏离值累计达20%的证券
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12 20210524 35344119.44 46305551.88 0 连续三个交易日内，涨幅偏离值累计达20%的证券
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13 20210524 9091252.00 26481086.00 0 连续三个交易日内，涨幅偏离值累计达20%的证券
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14 20210524 23609443.87 23791701.41 0 连续三个交易日内，涨幅偏离值累计达20%的证券
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15 20210524 49699663.21 3956982.00 1 连续三个交易日内，涨幅偏离值累计达20%的证券
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16 20210524 35504648.99 46382533.92 1 连续三个交易日内，涨幅偏离值累计达20%的证券
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17 20210524 35344119.44 46305551.88 1 连续三个交易日内，涨幅偏离值累计达20%的证券
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18 20210524 29607924.52 19374138.00 1 连续三个交易日内，涨幅偏离值累计达20%的证券
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19 20210524 28720777.05 53009929.06 1 连续三个交易日内，涨幅偏离值累计达20%的证券
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```
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