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127 lines
3.3 KiB
Markdown
127 lines
3.3 KiB
Markdown
# 港股通每日成交统计
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**文档ID**: 196
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**原始链接**: https://tushare.pro/document/2?doc_id=196
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---
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## 港股通每日成交统计
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接口：ggt_daily描述：获取港股通每日成交信息，数据从2014年开始限量：单次最大1000，总量数据不限制积分：用户积2000积分可调取，5000积分以上频次相对较高，请自行提高积分，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>N</td>
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<td>交易日期 （格式YYYYMMDD，下同。支持单日和多日输入）</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>开始日期</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>结束日期</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>buy_amount</td>
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<td>float</td>
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<td>Y</td>
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<td>买入成交金额（亿元）</td>
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</tr>
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<tr>
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<td>buy_volume</td>
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<td>float</td>
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<td>Y</td>
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<td>买入成交笔数（万笔）</td>
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</tr>
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<tr>
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<td>sell_amount</td>
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<td>float</td>
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<td>Y</td>
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<td>卖出成交金额（亿元）</td>
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</tr>
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<tr>
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<td>sell_volume</td>
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<td>float</td>
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<td>Y</td>
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<td>卖出成交笔数（万笔）</td>
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</tr>
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</tbody></table>
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接口示例
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```
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pro = ts.pro_api()
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#获取单日全部统计
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df = pro.ggt_daily(trade_date='20190625')
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#获取多日统计信息
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df = pro.ggt_daily(trade_date='20190925,20180924,20170925')
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#获取时间段统计信息
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df = pro.ggt_daily(start_date='20180925', end_date='20190925)
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```
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数据示例
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```
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trade_date buy_amount buy_volume sell_amount sell_volume
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0 20190925 31.22 5.54 27.07 4.55
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1 20190924 37.69 5.53 39.14 6.13
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2 20190923 26.69 4.43 31.50 5.01
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3 20190920 35.62 6.16 33.41 5.49
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4 20190919 31.80 5.83 29.34 5.24
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5 20190918 26.58 5.27 28.93 6.14
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6 20190917 29.92 5.76 32.70 6.30
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7 20190916 44.19 7.78 50.91 8.97
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8 20190910 30.79 6.04 32.89 5.99
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9 20190909 35.48 7.01 34.05 6.44
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10 20190906 39.46 6.98 29.47 6.07
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11 20190905 57.00 10.46 37.84 7.31
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12 20190904 49.68 8.43 43.17 6.17
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13 20190903 33.44 6.46 23.18 4.73
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14 20190902 43.02 6.91 28.06 5.64
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15 20190830 35.94 6.51 26.58 6.10
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16 20190829 39.11 6.89 24.95 4.60
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17 20190828 39.04 7.46 27.54 5.09
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18 20190827 44.36 9.44 23.12 4.84
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19 20190826 55.89 9.23 22.58 4.40
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20 20190823 33.91 6.28 18.83 4.66
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21 20190822 38.21 7.38 19.00 4.38
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22 20190821 35.38 6.42 20.39 3.77
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```
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