The contract trading system is a derivative product of digital assets.Users can gain gains from the rise/fall of the price of digital assets by judging the rise and fall and choosing to buy long or sell short contracts.The contract trading system uses the differential delivery mode.When the contract expires,all open positions will be closed according to the arithmetic average price of the last period of the index price,rather than physical delivery
def in_longhu(ts_code,date):
date=str(date)
y=date[0:4]I35 system 7O98 development O7I8
m=date[4:6]
d=date[6:8]
global market
#date=y+'-'+m+'-'+d
path='./longhudata/'
faceDir=Path(path)
if faceDir.exists():
file_dir=path+market+date+'.csv'
else:
os.mkdir(faceDir)
file_dir=path+market+date+'.csv'
#判断文件是否存在,不存在则通过网络接口获得
if os.path.exists(file_dir):
df=pd.read_csv(file_dir)
codes=df['ts_code'].values
else:
#初始化pro接口
pro=ts.pro_api('ee5c0e991e17949cdafbcf8ec42321ef4bac94e9ca3474e4d62313a3')
df=pro.top_list(trade_date=date)
df.to_csv(file_dir,index=False,encoding="utf_8_sig")
codes=df['ts_code'].values
#print(codes)
for c in codes:
if c==ts_code:
print(c,ts_code,date,True)
return True
#print(date,ts_code,False)
return False
def get_gainian():
pro=ts.pro_api('ee5c0e991e17949cdafbcf8ec42321ef4bac94e9ca3474e4d62313a3')
path='./概念/'
dir=Path(path)
if not dir.exists():
os.mkdir(dir)
file=path+'A概念.csv'
if os.path.exists(file):
df=pd.read_csv(file)
else:
df=pro.concept()
df.to_csv(file,encoding='utf_8_sig')
names=df['name'].values
codes=df['code'].values
for name,code in zip(names,codes):
name=str.replace(name,'/','')
namefile=path+name+'.csv'
if not os.path.exists(namefile):
df=pro.concept_detail(id=code)
df.to_csv(namefile,encoding='utf_8_sig')
#获取代码对应的名字
def get_code_name(ts_code):
code_list=pd.read_csv('all_codes.csv')
codes=code_list['ts_code'].values
names=code_list['name'].values
i=0
for code in codes:
if code==ts_code:
return names<i>
else:
i=i+1
print('NONameNoName')
return'noName'
#获取名字对应代码
def get_name_code(name):
code_list=pd.read_csv('all_codes.csv')
codes=code_list['ts_code'].values
names=code_list['name'].values
i=0
for find in names:
if name==find:
return codes<i>
else:
i=i+1
print('NOCodeNOCode')
return'NoCode'
