86 lines
2.5 KiB
Markdown
86 lines
2.5 KiB
Markdown
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## 股票历史分钟行情
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----
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接口：stk_mins
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描述：获取A股分钟数据，支持1min/5min/15min/30min/60min行情，提供Python SDK和 http Restful API两种方式
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限量：单次最大8000行数据，可以通过股票代码和时间循环获取，本接口可以提供超过10年历史分钟数据
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权限：需单独开权限，正式权限请参阅 <u>[权限说明](https://tushare.pro/document/1?doc_id=290) </u>
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<br>
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<br>
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**输入参数**
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名称 | 类型 | 必选 | 描述
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---- | ----- | ---- | ----
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ts_code | str | Y | 股票代码，e.g. 600000.SH
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freq | str | Y | 分钟频度（1min/5min/15min/30min/60min）
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start_date | datetime | N | 开始日期 格式：2023-08-25 09:00:00
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end_date | datetime | N | 结束时间 格式：2023-08-25 19:00:00
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<br>
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<br>
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**freq参数说明**
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freq | 说明
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--- | ----
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1min | 1分钟
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5min | 5分钟
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15min | 15分钟
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30min | 30分钟
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60min | 60分钟
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<br>
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<br>
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**输出参数**
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名称 | 类型 | 默认显示 | 描述
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--- | ---- | ---- | ----
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ts_code | str | Y | 股票代码
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trade_time | str | Y | 交易时间
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open | float | Y | 开盘价
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close | float | Y | 收盘价
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high | float | Y | 最高价
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low | float | Y | 最低价
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vol | int | Y | 成交量
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amount | float | Y | 成交金额
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<br>
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<br>
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**接口用法**
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```python
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pro = ts.pro_api()
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#获取浦发银行60000.SH的历史分钟数据
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df = pro.stk_mins(ts_code='600000.SH', freq='1min', start_date='2023-08-25 09:00:00', end_date='2023-08-25 19:00:00')
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```
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<br>
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<br>
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**数据样例**
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ts_code trade_time close open high low vol amount
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0 600000.SH 2023-08-25 15:00:00 7.05 7.05 7.05 7.05 235500.0 1660275.0
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1 600000.SH 2023-08-25 14:59:00 7.05 7.05 7.05 7.05 0.0 0.0
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2 600000.SH 2023-08-25 14:58:00 7.05 7.05 7.05 7.05 0.0 0.0
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3 600000.SH 2023-08-25 14:57:00 7.05 7.06 7.06 7.05 51800.0 365491.0
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4 600000.SH 2023-08-25 14:56:00 7.05 7.05 7.06 7.04 92700.0 653831.0
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.. ... ... ... ... ... ... ... ...
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236 600000.SH 2023-08-25 09:34:00 7.01 7.02 7.02 7.00 120500.0 845311.0
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237 600000.SH 2023-08-25 09:33:00 7.01 7.01 7.02 7.00 126000.0 883188.0
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238 600000.SH 2023-08-25 09:32:00 7.01 7.02 7.02 6.99 236699.0 1659260.0
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239 600000.SH 2023-08-25 09:31:00 7.02 6.99 7.02 6.97 807500.0 5649956.0
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240 600000.SH 2023-08-25 09:30:00 6.99 6.99 6.99 6.99 103700.0 724863.0
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