RoShare
介绍
- RoShare是一个金融数据服务，满足金融量化的各种数据需求，它与市面上的金融数据服务的最大不同是提供进阶版的金融数据，比如基于金融新闻使用NLP技术构建的每日主题热度、基于基础数据使用经典理论构建的各类因子。
技术说明
- RoShare的服务端和客户端都使用Python3.9.13开发，依赖第三方包如下：
- pandas
- numpy
- fastapi
安装
- 使用pip安装
$ pip install shihua-roshareclient
- 使用wheel安装
$ pip install roshareclient-0.1.1-py3-none-any.whl
快速指南
- 首先，需要注册roshare账号，使用tushare的个人token(roshare只是进阶数据的算法提供方，具体的数据服务还需要自行接入相应的基础数据，目前支持tushare的数据接入)
- 示例1：获取每日新闻咨询
from roshareclient.client.api import DataAPI
tmp_dict = {}
tmp_dict['src'] = 'eastmoney'
tmp_dict['start_date'] = '2023-06-09+00:00:00' ### url中+号表示空格
tmp_dict['end_date'] = '2023-06-10+00:00:00'
roshareclient = DataAPI(token_key = 7890,
token='xxxxxxxxxxxxxxxxxxx',
tushare_token='xxxxxxxxxxxxxxxxxxxxxx',
timeout=6000)
df = roshareclient.get_tushare_news(params=tmp_dict)
print(df)
更多文档
- 想要了解RoShare提供的进阶数据背后的算法设计，想要了解RoShare提供哪些进阶数据，请移步此处了解
更新记录
- 0.1.1------2023/06/10
- 推出了新闻主题热度数据
1 maintainer
Metadata
1 maintainer
Release files for shihua-roshareclient 0.1.2
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