@小宝向前冲
#获取昨日涨停列表
if g.hold_list != []:
g.high_limit_list = []
for stock in g.hold_list:
df = attribute_history(stock, 1, unit='1d', fields=['close','high_limit'])
df = df.dropna()
if df.iloc[0,0] == df.iloc[0,1]:
g.high_limit_list.append(stock)
else:
g.high_limit_list = []
2023-02-06