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- 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>
227 lines
6.3 KiB
Markdown
227 lines
6.3 KiB
Markdown
# 龙虎榜每日统计单
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**文档ID**: 106
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**原始链接**: https://tushare.pro/document/2?doc_id=106
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---
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## 龙虎榜每日明细
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接口：top_list描述：龙虎榜每日交易明细数据历史： 2005年至今限量：单次请求返回最大10000行数据，可通过参数循环获取全部历史积分：用户需要至少2000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>股票代码</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>name</td>
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<td>str</td>
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<td>Y</td>
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<td>名称</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>pct_change</td>
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<td>float</td>
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<td>Y</td>
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<td>涨跌幅</td>
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</tr>
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<tr>
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<td>turnover_rate</td>
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<td>float</td>
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<td>Y</td>
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<td>换手率</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>总成交额</td>
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</tr>
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<tr>
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<td>l_sell</td>
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<td>float</td>
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<td>Y</td>
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<td>龙虎榜卖出额</td>
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</tr>
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<tr>
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<td>l_buy</td>
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<td>float</td>
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<td>Y</td>
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<td>龙虎榜买入额</td>
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</tr>
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<tr>
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<td>l_amount</td>
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<td>float</td>
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<td>Y</td>
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<td>龙虎榜成交额</td>
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</tr>
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<tr>
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<td>net_amount</td>
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<td>float</td>
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<td>Y</td>
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<td>龙虎榜净买入额</td>
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</tr>
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<tr>
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<td>net_rate</td>
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<td>float</td>
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<td>Y</td>
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<td>龙虎榜净买额占比</td>
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</tr>
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<tr>
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<td>amount_rate</td>
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<td>float</td>
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<td>Y</td>
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<td>龙虎榜成交额占比</td>
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</tr>
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<tr>
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<td>float_values</td>
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<td>float</td>
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<td>Y</td>
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<td>当日流通市值</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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接口用户
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```
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pro = ts.pro_api()
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df = pro.top_list(trade_date='20180928')
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或者
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df = pro.query('top_list', trade_date='20180928', ts_code='002219.SZ')
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```
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数据样例
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```
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trade_date ts_code name close pct_change turnover_rate \
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0 20180928 000007.SZ 全新好 7.830 -10.0000 0.24
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1 20180928 000017.SZ 深中华A 4.660 9.9057 7.44
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2 20180928 000505.SZ 京粮控股 5.750 9.9426 3.61
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3 20180928 000566.SZ 海南海药 6.120 10.0719 2.51
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4 20180928 000593.SZ 大通燃气 7.990 -8.0552 13.37
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5 20180928 000971.SZ 高升控股 3.990 -9.9323 0.94
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6 20180928 002219.SZ 恒康医疗 4.360 10.1010 7.11
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7 20180928 002219.SZ 恒康医疗 4.360 10.1010 7.11
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8 20180928 002333.SZ 罗普斯金 9.500 -9.9526 0.24
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9 20180928 002445.SZ 中南文化 3.140 -6.5476 11.66
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10 20180928 002813.SZ 路畅科技 25.500 10.0086 18.48
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11 20180928 002892.SZ 科力尔 29.970 2.8130 25.67
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12 20180928 002917.SZ 金奥博 29.120 6.1611 28.33
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13 20180928 002923.SZ 润都股份 26.700 0.0000 25.56
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14 20180928 002930.SZ 宏川智慧 30.990 10.0106 12.22
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15 20180928 002931.SZ 锋龙股份 35.310 10.0000 20.39
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amount l_sell l_buy l_amount net_amount \
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0 13736952.0 1.373695e+07 9.071055e+06 2.280801e+07 -4.665897e+06
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1 101054192.0 7.329639e+06 2.836120e+07 3.569084e+07 2.103156e+07
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2 74555564.0 8.547019e+06 2.143432e+07 2.998134e+07 1.288731e+07
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3 165464131.0 2.555165e+07 2.192522e+07 4.747687e+07 -3.626437e+06
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4 307769383.0 4.250203e+07 1.169383e+07 5.419587e+07 -3.080820e+07
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5 22255422.0 5.998390e+06 3.371550e+06 9.369940e+06 -2.626840e+06
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6 550236631.0 4.180139e+07 3.942085e+07 8.122223e+07 -2.380538e+06
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7 800737935.0 6.724486e+07 5.763500e+07 1.248799e+08 -9.609865e+06
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8 10943050.0 1.094305e+07 2.862350e+06 1.380540e+07 -8.080700e+06
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9 477766761.0 3.059160e+07 7.482957e+07 1.054212e+08 4.423796e+07
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10 138607013.0 1.219620e+07 2.408786e+07 3.628407e+07 1.189166e+07
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11 199046728.0 5.973278e+07 3.066344e+07 9.039623e+07 -2.906934e+07
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12 229118953.0 1.285196e+07 1.632610e+07 2.917805e+07 3.474138e+06
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13 203570158.0 4.148259e+07 2.583138e+07 6.731397e+07 -1.565121e+07
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14 226882184.0 1.456010e+07 6.502630e+07 7.958640e+07 5.046621e+07
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15 151875439.0 2.016411e+07 2.434384e+07 4.450795e+07 4.179725e+06
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net_rate amount_rate float_values \
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0 -33.97 166.03 2.419063e+09
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1 20.81 35.32 1.411891e+09
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2 17.29 40.21 2.072708e+09
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3 -2.19 28.69 6.751556e+09
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4 -10.01 17.61 2.235541e+09
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5 -11.80 42.10 2.359132e+09
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6 -0.43 14.76 8.132328e+09
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7 -1.20 15.60 8.132328e+09
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8 -73.84 126.16 4.607212e+09
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9 9.26 22.07 4.078696e+09
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10 8.58 26.18 7.650000e+08
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11 -14.60 45.41 7.892899e+08
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12 1.52 12.73 8.232224e+08
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13 -7.69 33.07 8.010000e+08
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14 22.24 35.08 1.885122e+09
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15 2.75 29.31 7.845882e+08
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reason
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0 日跌幅偏离值达到7%的前五只证券
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1 日涨幅偏离值达到7%的前五只证券
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2 日涨幅偏离值达到7%的前五只证券
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3 日涨幅偏离值达到7%的前五只证券
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4 日跌幅偏离值达到7%的前五只证券
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5 日跌幅偏离值达到7%的前五只证券
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6 日涨幅偏离值达到7%的前五只证券
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7 连续三个交易日内，涨幅偏离值累计达到20%的证券
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8 日跌幅偏离值达到7%的前五只证券
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9 日跌幅偏离值达到7%的前五只证券
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10 日涨幅偏离值达到7%的前五只证券
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11 日换手率达到20%的前五只证券
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12 日换手率达到20%的前五只证券
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13 日换手率达到20%的前五只证券
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14 日涨幅偏离值达到7%的前五只证券
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15 日涨幅偏离值达到7%的前五只证券
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```
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