前面写了一个强大的可转债自定义系统,我们可以利用这个快速对接到大qmt,我提供实时数据支持 量化研究---强大的可转债分析系统上线,提供api,实时数据支持
打开网页 http://120.78.132.143:8023/
强大可转债选择系统 http://120.78.132.143:8023/convertible_bond_custom_system_app
点击运行就要禄得一模一样的选股结果
可以点击下载数据看看结果
大qmt怎么样使用只需要建立一个策略把代码放入就可以,比如我建立的禄得策略
点击编辑
我们只需要点击运行就会掉我服务器自动分析,得到选股结果,直接加入轮动就可以
我们只需要修改text的内容就可以和禄得一模一样的
后面大家就可以参考写实盘,我后面继续完善这几天事情多,不懂的可以问我
加我备注入群,可以进入策略研究群,源代码
#encoding:gbk
import pandas as pd
import requests
import json
import numpy as np
import talib
class convertible_bond_stock_selection_system:
def __init__(self,url='http://120.78.132.143',port=8023,password='123456'):
'''
可转债选股系统
url服务器网页
port端口
password授权码
'''
self.url=url
self.port=port
self.password=password
def get_user_info(self):
'''
获取用户信息
'''
url='{}:{}/_dash-update-component'.format(self.url,self.port)
headers={'Content-Type':'application/json'}
data={
"output":"bond_trader_models_table_1.data@25956d89597d08e2116ebf2664b9ff75",
"outputs":{"id":"bond_trader_models_table_1","property":"data@25956d89597d08e2116ebf2664b9ff75"},
"inputs":[{"id":"bond_trader_models_password","property":"value","value":self.password},
{"id":"bond_trader_models_data_type","property":"value","value":"代码"},
{"id":"bond_trader_models_text","property":"value","value":""},
{"id":"bond_trader_models_run","property":"value","value":"运行"},
{"id":"bond_trader_models_down_data","property":"value","value":"不下载数据"}],"changedPropIds":["bond_trader_models_run.value"]}
res=requests.post(url=url,data=json.dumps(data),headers=headers)
text=res.json()
df=pd.DataFrame(text['response']['bond_trader_models_table_1']['data'])
return df
def get_convertible_bond_stock_selection_system(self,text=''):
'''
获取选股的结果
'''
user=self.get_user_info()
print(user)
print('开始分析*************************************')
url='{}:{}/_dash-update-component'.format(self.url,self.port)
headers={'Content-Type':'application/json'}
data={
"output":"bond_trader_models_table.data@25956d89597d08e2116ebf2664b9ff75",
"outputs":{"id":"bond_trader_models_table","property":"data@25956d89597d08e2116ebf2664b9ff75"},
"inputs":[{"id":"bond_trader_models_password","property":"value","value":"123456"},
{"id":"bond_trader_models_data_type","property":"value","value":"代码"},
{"id":"bond_trader_models_text","property":"value","value":"{}".format(text)},
{"id":"bond_trader_models_run","property":"value","value":"运行"},
{"id":"bond_trader_models_down_data","property":"value","value":"不下载数据"}],"changedPropIds":["bond_trader_models_run.value"]}
res=requests.post(url=url,data=json.dumps(data),headers=headers)
text=res.json()
df=pd.DataFrame(text['response']['bond_trader_models_table']['data'])
return df
#if __name__=='__main__':
'''
获取数据
'''
text={
"可转债溢价率设置":"可转债溢价率设置",
"数据源模式说明":"服务器/自定义 自定义自己直接导入禄得选股的结果,放在自定义数据,支持盘中,盘后选股交易",
"数据源":"服务器",
"更新数据模式说明":"手动/自动",
"更新数据模式":"自动",
"服务器":"http://120.78.132.143",
"端口":"8023",
"授权码":"123456",
"是否测试":"否",
"是否数据没有更新的情况下更新":"是",
"强制赎回设置":"************************",
"是否剔除强制赎回":"是",
"距离强制赎回天数":0,
"排除上市天数":3,
"是否排除ST":"是",
"市场说明":["沪市主板","深市主板","创业板","科创板"],
"排除市场":[],
"行业说明":"查询行业表**********,混合排除不区分一二三级行业",
"排除行业":[],
"企业类型说明":["民营企业","地方国有企业","中央国有企业","外资企业","中外合资经营企业","集体企业"],
"排除企业类型":[],
"排除地域说明":["陕西", "山西", "山东", "河南", "新疆", "安徽", "西藏", "海南", "湖北", "河北",
"福建", "广西", "内蒙古", "浙江", "江西", "江苏", "上海", "贵州", "黑龙江", "湖南", "甘肃",
"宁夏", "云南", "天津", "广东", "四川", "北京", "辽宁", "重庆"],
"排除地域":[],
"排除外部评级说明":["AAA", "AA+", "AA", "AA-", "A+", "A", "A-",
"BBB+", "BBB", "BBB-", "BB+", "BB", "BB-", "B+", "B", "B-", "CCC", "CC"],
"排除外部评级":["B","B-","CCC","CC"],
"排除三方评级说明":["1", "2", "3", "4+", "4", "4-", "5+", "5", "5-", "6+", "6",
"6-", "7+", "7", "7-", "8+", "8", "8-", "9", "10"],
"排除三方评级":["10","9","8"],
"添加排除因子":"排除因子设置************************",
"全部的排除因子打分因子,必须选择可以计算的":["开盘价", "最高价", "最低价", "最新价", "涨跌幅", "5日涨跌幅",
"正股最高价", "正股最低价", "正股最新价", "正股涨跌幅", "正股5日涨跌幅", "成交量(手)",
"成交额(万)", "年化波动率", "正股年化波动率", "股息率", "转股价值", "转股溢价率", "理论转股溢价率",
"修正转股溢价率", "纯债价值", "纯债溢价率", "期权价值", "理论价值", "理论偏离度", "双低",
"剩余规模(亿)", "剩余市值(亿)", "换手率", "市净率", "市盈率_ttm", "市销率_ttm", "正股流通市值(亿)",
"正股总市值(亿)", "资产负债率", "转债市占比", "上市天数", "转股截止日", "剩余年限",
"到期收益率(税前)", "强赎触发比例", "外部评级", "三方评级", "企业类型", "地域", "一级行业", "二级行业", "三级行业"],
"因子计算符号说明":"大于,小于,大于排名%,小于排名%,空值,排除是相反的,大于是小于",
"排除因子":["最新价","最新价","转股溢价率","剩余规模(亿)"],
"因子计算符号":["大于","小于","大于","大于"],
"因子值":[130,100,0.3,8],
"打分因子设置":"*************************************************",
"打分因子说明":"正相关:因子值越大得分越高;负相关:因子值越大得分越低,",
"打分因子":["转股溢价率","最新价","剩余规模(亿)"],
"因子相关性":["负相关","负相关","负相关"],
"因子权重":[1,1,1],
"持有限制":10,
"持股限制":10,
"策略轮动设置":"策略轮动设置************************,轮动都按排名来",
"轮动方式说明":"每天/每周/每月/特别时间",
"轮动方式":"每天",
"说明":"每天按自定义函数运行",
"每周轮动是说明":"每周比如0是星期一,4是星期五**********",
"每周轮动时间":0,
"每月轮动是说明":"必须是交易日,需要自己每个月自动输入**********",
"每月轮动时间":["2024-02-29","2024-02-29","2024-02-29","2024-02-29","2024-02-29","2024-02-29","2024-02-29"],
"特定时间说明":"特别的应该交易日",
"特定时间":["2024-02-23","2024-02-24","2024-02-25","2024-02-26","2024-02-27"],
"轮动规则设置":"轮动规则设置88888888**********排名",
"买入排名前N":10,
"持有排名前N":10,
"跌出排名卖出N":10,
"买入前N":10,
"自定义因子模块":"自定义因子模块设置***********************",
"是否开启自定义因子":"否",
"自定义因子":{
"5日收益":"return_5()",
"均线金叉":"ma_gold_fork()",
"macd金叉":"macd_gold_fork()"}
}
def init(ContextInfo):
print('*********************8')
ContextInfo.accID = '55011917'
ContextInfo.accType='STOCk'
ContextInfo.buy = True
ContextInfo.sell = False
ContextInfo.models=convertible_bond_stock_selection_system()
ContextInfo.df=ContextInfo.models.get_convertible_bond_stock_selection_system(text=text)
print(ContextInfo.df)
#利用定时函数运行
#ContextInf.run_time()
def handlebar(ContextInfo):
pass
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