from base.stock import getAStocks
from utils.timeutil import getLastWeekDay
if __name__ == '__main__':
lastWeekDay = getLastWeekDay()
fileName = str(lastWeekDay) + "-" + "stock.csv"
print("getting %s stocks list"%lastWeekDay)
stocks = getAStocks(lastWeekDay)
print('saving %s stocks to: %s'%(lastWeekDay,fileName))
stocks.to_csv(fileName,encoding='gbk', index=False)
# coding=utf8
'''
筛选符合市盈率条件的股票
'''
from base.stock import getAStocks
from utils.timeutil import getLastWeekDay
def peFilter(stocks, peLimit):
for code, stock in stocks.iterrows():
pe = float(stock['peTTM'])
if pe <= 0 or pe > peLimit:
stocks.drop(code, inplace=True)
return stocks
if __name__ == "__main__":
stocks = getAStocks(getLastWeekDay())
stocks = peFilter(stocks, 9)
print("low pe stocks total has: %s" % len(stocks))
for code, stock in stocks.iterrows():
print(code, stock['name'], stock['peTTM'])
for quarter in range(lastQuarter, 0, -1): # 往期盈利数据
print("query %s %s year %s quarter profit:" %
(code, currentYear - years, quarter))
profit = getProfit(code, currentYear - years, quarter)
if profit is not None:
try:
oldProfit = float(profit['netProfit'])
except Exception:
oldProfit = 0 # 未找到对应数据
else:
oldProfit = 0
if oldProfit != 0:
break
print("%s current profit is: %s,old profit is: %s" %
(code, currentProfit, oldProfit))
if currentProfit <= oldProfit:
stocks.drop(index, inplace=True)
return stocks
if __name__ == "__main__":
stocks = getAStocks('2020-03-23')
growFilter(stocks, 5)
pass