# 每日指标

**文档ID**: 32
**原始链接**: https://tushare.pro/document/2?doc_id=32

---

## 每日指标

接口：daily_basic，可以通过数据工具调试和查看数据。更新时间：交易日每日15点～17点之间描述：获取全部股票每日重要的基本面指标，可用于选股分析、报表展示等。单次请求最大返回6000条数据，可按日线循环提取全部历史。积分：至少2000积分才可以调取，5000积分无总量限制，具体请参阅积分获取办法

输入参数

<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>必选</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>ts_code</td>
<td>str</td>
<td>Y</td>
<td>股票代码（二选一）</td>
</tr>
<tr>
<td>trade_date</td>
<td>str</td>
<td>N</td>
<td>交易日期 （二选一）</td>
</tr>
<tr>
<td>start_date</td>
<td>str</td>
<td>N</td>
<td>开始日期(YYYYMMDD)</td>
</tr>
<tr>
<td>end_date</td>
<td>str</td>
<td>N</td>
<td>结束日期(YYYYMMDD)</td>
</tr>
</tbody></table>
注：日期都填YYYYMMDD格式，比如20181010

输出参数

<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>ts_code</td>
<td>str</td>
<td>TS股票代码</td>
</tr>
<tr>
<td>trade_date</td>
<td>str</td>
<td>交易日期</td>
</tr>
<tr>
<td>close</td>
<td>float</td>
<td>当日收盘价</td>
</tr>
<tr>
<td>turnover_rate</td>
<td>float</td>
<td>换手率（%）</td>
</tr>
<tr>
<td>turnover_rate_f</td>
<td>float</td>
<td>换手率（自由流通股）</td>
</tr>
<tr>
<td>volume_ratio</td>
<td>float</td>
<td>量比</td>
</tr>
<tr>
<td>pe</td>
<td>float</td>
<td>市盈率（总市值/净利润， 亏损的PE为空）</td>
</tr>
<tr>
<td>pe_ttm</td>
<td>float</td>
<td>市盈率（TTM，亏损的PE为空）</td>
</tr>
<tr>
<td>pb</td>
<td>float</td>
<td>市净率（总市值/净资产）</td>
</tr>
<tr>
<td>ps</td>
<td>float</td>
<td>市销率</td>
</tr>
<tr>
<td>ps_ttm</td>
<td>float</td>
<td>市销率（TTM）</td>
</tr>
<tr>
<td>dv_ratio</td>
<td>float</td>
<td>股息率 （%）</td>
</tr>
<tr>
<td>dv_ttm</td>
<td>float</td>
<td>股息率（TTM）（%）</td>
</tr>
<tr>
<td>total_share</td>
<td>float</td>
<td>总股本 （万股）</td>
</tr>
<tr>
<td>float_share</td>
<td>float</td>
<td>流通股本 （万股）</td>
</tr>
<tr>
<td>free_share</td>
<td>float</td>
<td>自由流通股本 （万）</td>
</tr>
<tr>
<td>total_mv</td>
<td>float</td>
<td>总市值 （万元）</td>
</tr>
<tr>
<td>circ_mv</td>
<td>float</td>
<td>流通市值（万元）</td>
</tr>
</tbody></table>
接口用法

```

pro = ts.pro_api()

df = pro.daily_basic(ts_code='', trade_date='20180726', fields='ts_code,trade_date,turnover_rate,volume_ratio,pe,pb')

```

或者

```

df = pro.query('daily_basic', ts_code='', trade_date='20180726',fields='ts_code,trade_date,turnover_rate,volume_ratio,pe,pb')

```

数据样例

```
    ts_code     trade_date  turnover_rate  volume_ratio        pe       pb
0     600230.SH   20180726         2.4584          0.72    8.6928   3.7203
1     600237.SH   20180726         1.4737          0.88  166.4001   1.8868
2     002465.SZ   20180726         0.7489          0.72   71.8943   2.6391
3     300732.SZ   20180726         6.7083          0.77   21.8101   3.2513
4     600007.SH   20180726         0.0381          0.61   23.7696   2.3774
5     300068.SZ   20180726         1.4583          0.52   27.8166   1.7549
6     300552.SZ   20180726         2.0728          0.95   56.8004   2.9279
7     601369.SH   20180726         0.2088          0.95   44.1163   1.8001
8     002518.SZ   20180726         0.5814          0.76   15.1004   2.5626
9     002913.SZ   20180726        12.1096          1.03   33.1279   2.9217
10    601818.SH   20180726         0.1893          0.86    6.3064   0.7209
11    600926.SH   20180726         0.6065          0.46    9.1772   0.9808
12    002166.SZ   20180726         0.7582          0.82   16.9868   3.3452
13    600841.SH   20180726         0.3754          1.02   66.2647   2.2302
14    300634.SZ   20180726        23.1127          1.26  120.3053  14.3168
15    300126.SZ   20180726         1.2304          1.11  348.4306   1.5171
16    300718.SZ   20180726        17.6612          0.92   32.0239   3.8661
17    000708.SZ   20180726         0.5575          0.70   10.3674   1.0276
18    002626.SZ   20180726         0.6187          0.83   22.7580   4.2446
19    600816.SH   20180726         0.6745          0.65   11.0778   3.2214

```