xuan=[]
#构建自已的股票池
def build_my_stock():
#获取股票列表
df = pro.stock_basic(exchange='', list_status='L', fields='ts_code,symbol,name,area,industry,list_date')
#剔除ST股票
df = df[~df['name'].str.contains('ST')]
#上市时间
now = datetime.datetime.now()
df['list_date'] = pd.to_datetime(df['list_date'])
df['ssdays'] = (now - df['list_date']).dt.days
df = df[df['ssdays']>2000]
#流通盘太大不做
df2 = pro.daily_basic(ts_code='', trade_date='20200507', fields='ts_code,float_share')
df2 = df2[df2['float_share']<100000]
df = pd.merge(df,df2,on=['ts_code'])
return df
df2 = pro.stk_limit(trade_date='20200612')
for code in build_my_stock()['ts_code'].values:
data = ts.get_realtime_quotes(code[0:6])
pre_close = data.loc[data[data['code']==code[0:6]].index[0],'pre_close'] #昨日收盘价
price = data.loc[data[data['code']==code[0:6]].index[0],'price']
high = data.loc[data[data['code']==code[0:6]].index[0],'high'] #今日最高价
limit = df2.loc[df2[df2['ts_code']==code].index[0],'up_limit'] #今日涨停价
if float(high) ==limit:#: float(pre_close)*1.095:
if float(price) < limit:#float(high):
print(code)
xuan.append(code)
print(xuan)
