optshare 0.1.66

Python package for option, index, and yield data

OptShare

Special thanks to AKshare for the opportunity to learn from this project in terms of code and project development.

OptShare is a Python-based option data interface library, designed to provide easy-to-use option data, index data, and market yield data.

The main source of OptShare data is the official website and raw data published by eastmoney financial website.

• Documentation: 文档链接

Installation

Python 3.9(64-bit) or later

pip install optshare

Usage

Code

import optshare

current_option_data = optshare.get_current_option()
print(current_option_data)

Output

                代码               名称   最新价    涨跌额      涨跌幅     成交量       成交额  \
0       a2305p4500    豆一23年05月沽4500  50.0   49.5  9900.00     1.0     500.0   
1        i2305p510    铁矿石23年05月沽510   3.0    2.9  2900.00     1.0     300.0   
2       v2305c9000   PVC23年05月购9000  12.5   12.0  2400.00     4.0     247.0   
3       v2305c9200   PVC23年05月购9200  12.0   11.5  2300.00    23.0    1280.0   
4      p2305c12600  棕榈油23年05月购12600   9.5    9.0  1800.00  2407.0  197575.0   
...            ...              ...   ...    ...      ...     ...       ...   
11963   y2303p8100    豆油23年03月沽8100   0.5   -2.0   -80.00   133.0    1135.0   
11964   y2303p8400    豆油23年03月沽8400   3.0  -13.5   -81.82   942.0   46570.0   
11965   SR303P5400    白糖23年03月沽5400   0.5   -2.5   -83.33   656.0    6560.0   
11966   y2303p8300    豆油23年03月沽8300   1.5   -8.0   -84.21   874.0   19995.0   
11967   v2309c7000   PVC23年09月购7000  40.0 -312.5   -88.65     1.0     200.0   

           持仓量  行权价  剩余日      日增     昨结    今开  
0        183.0  NaN  NaN     0.0    0.5  50.0  
1        745.0  NaN  NaN     0.0    0.1   3.0  
2        211.0  NaN  NaN     0.0    0.5  12.0  
3        133.0  NaN  NaN    -7.0    0.5  10.5  
4      12173.0  NaN  NaN  1360.0    0.5   7.0  
...        ...  ...  ...     ...    ...   ...  
11963    742.0  NaN  NaN   -80.0    2.5   1.0  
11964    630.0  NaN  NaN   148.0   16.5   6.5  
11965   5193.0  NaN  NaN   -82.0    3.0   0.5  
11966   7134.0  NaN  NaN   -32.0    9.5   3.5  
11967      9.0  NaN  NaN     0.0  352.5  40.0  

[11968 rows x 13 columns]