def getEmailContent(self):
content = '策略名称：' + self.strategyName
content = content + '\r\n'
content = content + '买入：\r\n'
content = content + ','.join(redisService.smembers(self.buyKey))
content = content + '\r\n'
content = content + '卖出：\r\n'
content = content + ','.join(redisService.smembers(self.sellKey))
return content
def getEmailContent(self):
content = None
buyList = redisService.smembers(self.buyKey)
sellList = redisService.smembers(self.sellKey)
if len(buyList) > 0 or len(sellList) > 0:
content = '策略名称：' + self.strategyName
content = content + '<br/>'
content = content + '买入(' + str(len(buyList)) + '支)：<br/>'
content = content + ','.join(buyList)
content = content + '\r\n'
content = content + '卖出(' + str(len(sellList)) + '支)：<br/>'
content = content + ','.join(sellList)
return content
def strategy(self):
needEmail = False
#非交易时间，直接返回
if not stockService.isTradeTime():
return needEmail
#获取持有的股票
try:
holdStocks = redisService.smembers(Config.KEY_HOLD_STOCK)
for stockNo in holdStocks:
#获取当前股票的实时分笔
df = ts.get_realtime_quotes(stockNo)
column_open = df['open']
open = float(column_open[0])
column_price = df['price']
price = float(column_price[0])
percent = abs(open - price) / open
#如果波动幅度超过5%，则需要给出卖出提示
#涨幅超过5%的情况
if price > open and percent >= self.rate:
needEmail = True
redisService.sadd(self.buyKey, stockNo)
if price < open and percent >= self.rate:
needEmail = True
redisService.sadd(self.sellKey, stockNo)
except:
print(self.strategyName, "策略出现异常:", sys.exc_info()[0])
finally:
#让出线程
time.sleep(1)
return needEmail
return needEmail
def testRedis():
print('str')
redisService.set('string','str')
print(redisService.keys('s*'))
print(redisService.get('string'))
print('list')
redisService.rpush('list',1)
redisService.rpush('list',2)
redisService.rpush('list',3)
redisService.rpush('list',3)
print(redisService.lrange('list',0,-1))
print('set')
redisService.sadd('set',1)
redisService.sadd('set',2)
redisService.sadd('set',3)
redisService.sadd('set',3)
print(redisService.smembers('set'))
def strategy(self,stockNo): if stockNo is not None: try: nowDate=datetime.datetime.now() endDateStr=nowDate.strftime(Config.FORMAT_STR) startDateStr=(nowDate-datetime.timedelta(days=self.dateDelta)).strftime(Config.FORMAT_STR) df = ts.get_hist_data(stockNo,start=startDateStr,end=endDateStr) #最少需要28行数据 if df and (len(df.index) >= 28) : front_EMA12=cal_EMA(df.ix[1:-1,:],12,12) front_EMA26=cal_EMA(df.ix[1:-1,:],26,26) #前日差离率 front_DIF=EMA12-EMA26 EMA12=cal_EMA(df,12,12) EMA26=cal_EMA(df,26,26) #今日差离率 DIF=EMA12-EMA26 DEA=cal_DEA(df) BAR=2*(DIF-DEA) #根据离差率判断是否属于上升趋势 if front_DIF < DIF and DIF >= DEA : #如果离差率上穿DEA则为金叉，发出买入信号 #存入买入股票编码 redisService.sadd(self.buyKey,stockNo) #如果离差率下破DEA则为死叉，发出卖出信号 if front_DIF > DIF and DIF <= DEA : #如果当前股票在持股里面，则发出卖出信号 holdStocks=redisService.smembers(Config.KEY_HOLD_STOCK) for holdNo in holdStocks: if holdNo == stockNo : redisService.sadd(self.sellKey,stockNo) return None except: print(self.strategyName,"策略出现异常:", sys.exc_info()[0]) finally: #让出线程 time.sleep(1) return None return None
def isTradeTime(self):
struct_time = time.localtime()
tm_wday = struct_time[6]
tm_hour = struct_time[3]
tm_min = struct_time[4]
#周一到周五
if 0 <= tm_wday and tm_wday <= 4:
if 9 < tm_hour or (9 == tm_hour and 30 <= tm_min):
return True
if tm_hour >= 13 and tm_hour <= 15:
return True
return False
def initHoldStocksToRedis(self):
filePath = os.path.join(os.getcwd(), Config.HOLD_STOCKS_FILE_NAME)
with open(filePath) as somefile:
lines = somefile.readlines()
for line in lines:
stockNo = line.strip()
if len(stockNo) > 0:
try:
redisService.sadd(Config.KEY_HOLD_STOCK, stockNo)
except:
pass
stockService = StockService()
if __name__ == '__main__':
stockService.initHoldStocksToRedis()
print(redisService.smembers(Config.KEY_HOLD_STOCK))
