可转债全部历史因子数据，提供api支持

本文主要是介绍可转债全部历史因子数据，提供api支持，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

今天在写可转债系统，顺便下载了一下服务器的可转债数据，给大家研究使用

from trader_tool.stock_data import stock_datafrom trader_tool.lude_data_api import lude_data_apiimport osclass convertible_bond_back_test_system:    '''    可转债回测系统    '''    def __init__(self,start_date='20180101',end_date='20240612'):        self.start_date=start_date        self.end_date=end_date        self.path=os.path.dirname(os.path.abspath(__file__))        self.lude_data_api=lude_data_api()        self.stock_data=stock_data()    def down_all_data(self):        '''        下载服务器可转债全部数据        '''        trader_list=self.stock_data.get_trader_date_list(start_date=self.start_date,end_date=self.end_date)        for date in trader_list:            all_path=os.listdir(r'{}\data'.format(self.path))            main_path='{}.csv'.format(date)            if main_path in all_path:                print('{}已经下载'.format(main_path))            else:                df=self.lude_data_api.get_bond_data(date=date)                stats=df['数据状态'].tolist()[-1]                if stats==True:                    try:                        del df['更新时间']                    except Exception as e:                        print(e)                    try:                        del df['数据时间']                    except Exception as e:                        print(e)                    df.to_csv(r'{}\data\{}'.format(self.path,main_path))                    print('{}交易日数据下载完成'.format(date))                else:                    print('{}交易日没有数据'.format(date))if __name__=='__main__':    backtrader=convertible_bond_back_test_system()    backtrader.down_all_data()

原始的数据来自禄得，不用在商业用途，感谢老师的数据

网页 https://lude.cc/

我网页也支持数据下载网页 http://120.78.132.143:8023/

点击可转债数据，禄得数据

可以点击下载数据，选择日期

下载的数据

利用程序自动下载全部历史的数据

全部的历史数据

需要全部数据的直接回复20240612就可以

下载我服务器数据的api

import pandas as pdimport requests import jsonclass lude_data_api:    def __init__(self,url='http://120.78.132.143',port='8023',password='123456'):        '''        手动下载存数据库        禄得数据api        url服务器        port端口        password授权码        '''        self.url=url        self.port=port        self.password=password    def get_bond_data(self,date='2024-04-26'):        '''        获取可转债数据        '''        url='{}:{}/_dash-update-component'.format(self.url,self.port)        headers={'Content-Type':'application/json'}        data={"output":"lude_data_maker_table.data@669dd4696a628d8290353c138057eb97",            "outputs":{"id":"lude_data_maker_table","property":"data@669dd4696a628d8290353c138057eb97"},            "inputs":[{"id":"password","property":"value","value":self.password},            {"id":"lude_data_data_type","property":"value","value":"禄得数据"},            {"id":"lude_data_end_date","property":"date","value":date},            {"id":"lude_data_run","property":"value","value":"运行"},            {"id":"lude_data_down_data","property":"value","value":"不下载数据"}],            "changedPropIds":["lude_data_run.value"]}        res=requests.post(url=url,data=json.dumps(data),headers=headers)        text=res.json()        df=pd.DataFrame(text['response']['lude_data_maker_table']['data'])        return df    def get_bond_spot_data(self,date='2024-05-23'):        '''        获取可转债实时数据        '''        url='{}:{}/_dash-update-component'.format(self.url,self.port)        headers={'Content-Type':'application/json'}        data={"output":"lude_data_maker_table.data@669dd4696a628d8290353c138057eb97",            "outputs":{"id":"lude_data_maker_table","property":"data@669dd4696a628d8290353c138057eb97"},            "inputs":[{"id":"password","property":"value","value":self.password},            {"id":"lude_data_data_type","property":"value","value":"实时数据"},            {"id":"lude_data_end_date","property":"date","value":date},            {"id":"lude_data_run","property":"value","value":"运行"},            {"id":"lude_data_down_data","property":"value","value":"不下载数据"}],            "changedPropIds":["lude_data_run.value"]}        res=requests.post(url=url,data=json.dumps(data),headers=headers)        text=res.json()        df=pd.DataFrame(text['response']['lude_data_maker_table']['data'])        return dfif __name__=='__main__':    models=lude_data_api()    df=models.get_bond_data(date='2024-05-23')    print(df)    df=models.get_bond_spot_data(date='2024-05-23')