def scanOne(cls, etf, beforeDayNum=2):
gevent.sleep(0.001)
startDate, endDate = cls.getBeginEndDate(20)
sh = StockHistory(etf.code.lower(), startDate, endDate)
pointList, err = sh.getPointList()
if err != None:
cls.logError("get etf history failed:" + str(err))
return
index = 0 - beforeDayNum
pointList = pointList[index:]
length = len(pointList)
#判断价格是否连续下跌
isStillRise = True
for i in range(length - 1):
if pointList[i].dayEnd <= pointList[i + 1].dayEnd:
isStillRise = False
if isStillRise == False: return
#判断是否连续下跌
for point in pointList:
if point.dayBegin <= point.dayEnd:
return
now = Point.getNow(etf.code)
#大于30块的不要
if now.now >= 30: return
msg = NotifyTpl.genETFRiseTpl('关注信息', etf.name, etf.code, length,
now.now)
notify.asyncSendMsg(msg)
def scan(cls, stock, beforeDayNum=10):
gevent.sleep(0.001)
#如果是ST类型的股票，不分析
if 'ST' in stock.name or 'st' in stock.name: return
startDate, endDate = cls.getBeginEndDate(35)
print(startDate, endDate)
sh = StockHistory(code=stock.code,
startDate=startDate,
endDate=endDate)
pointList, err = sh.getPointList()
if err != None:
cls.logError("code:%s, name:%s, get history failed:%s" %
(stock.code, stock.name, err))
return
index = 0 - beforeDayNum
pointList = pointList[index:]
for point in pointList:
if point.dayBegin >= point.dayEnd:
return
#判断价格是否连续上涨
isStillRose = True
length = len(pointList)
for i in range(length - 1):
if pointList[i].dayEnd >= pointList[i + 1].dayEnd:
isStillRose = False
if isStillRose == False: return
now = Point.getNow(stock.code)
msg = NotifyTpl.genStillRoseNotify('关注信号', stock.name, stock.code,
length, now.now)
notify.asyncSendMsg(msg)
def checkOnce(cls):
gevent.sleep(0.001)
f = open('./data/his_buy_profit.json', 'r')
content = f.read()
f.close()
data = demjson.decode(content)
for code, buyProfitList in data.items():
buyProfitList.sort()
print(code, buyProfitList)
point = Point.getNow(code)
print(point)
isLessThanHis = False
comparePrice = 0
for price in buyProfitList:
if point.now <= price:
isLessThanHis = True
comparePrice = price
break
print(isLessThanHis, point.now)
if not isLessThanHis: continue
print('allow send：', cls.isAllowSend(code))
if not cls.isAllowSend(code): return
msg = NotifyTpl.genHisBuyProfitNotify('买入信号', point.name, code,
point.now, comparePrice)
print('msg:', msg)
notify.defaultSendDDMsg(msg)
cls.markSend(code)
def watchOnce(self):
if not Point.isStcokTime():
print('is not stock time, current time:' + str(dt.current_time()))
return
try:
point = Point.getNow(self.code)
except:
return
self.onNewPoint(point)
async def handle(self):
try:
code = self.param('code')
remote = self.remoteAddr()
self.logInfo(f'code:{code}, remote:{remote}')
now = Point.getNow(code)
return now.toString()
except Exception as ex:
return str(ex)
def test(cls):
startDate, endDate = cls.getBeginEndDate(20)
print(startDate, endDate)
sh = StockHistory(code='sz002078',
startDate=startDate,
endDate=endDate)
pointList, err = sh.getPointList()
if err != None:
print(err)
return
for p in pointList:
print(p.dayMin, p.time)
now = Point.getNow('sz002078')
print('now:', now.now)
isLatestMin = True
for point in pointList:
#按照日期升序2020-07-13 ~ 2020-07-14
#for test
#print('code:', point.code, 'time:', point.time, 'dayBegin:', point.dayBegin, 'dayEnd:', point.dayEnd, 'dayMax:', point.dayMax, 'dayMin:', point.dayMin)
if float(now.now) >= float(point.dayMin):
isLatestMin = False
break
print('isLatestMin:', isLatestMin)
def analyseOneStock(cls,
stock_name,
stock_code,
beforeDayNum,
allowDynicPe=40,
allowStaticPe=40,
allowPb=20,
allowLowPrice=0.5,
allowHighPrice=30,
dy_pe=0,
sta_pe=0,
pb=0):
#如果是ST类型的股票，不分析
if 'ST' in stock_name or 'st' in stock_name:
return
print(stock_name)
startDate, endDate = cls.getBeginEndDate(beforeDayNum)
sh = StockHistory(code=stock_code,
startDate=startDate,
endDate=endDate)
pointList, err = sh.getPointList()
if err != None:
cls.logError("code:%s, name:%s, get history failed:%s" %
(stock_code, stock_name, err))
return
if len(pointList) <= 0:
cls.logError("get latest n days data return empty list")
return
#判断是否到达最近几天的最低点
now = Point.getNow(stock_code)
#now.now = 1
isLatestMin = True
for point in pointList:
#print('now:', now.now, 'daymin:', point.dayMin)
#按照日期升序2020-07-13 ~ 2020-07-14
if float(now.now) >= float(point.dayMin):
isLatestMin = False
break
if isLatestMin == False:
return
#判断最近几天是否有振荡 (判断是否有涨有跌)
roseNum = 0
fallNum = 0
for point in pointList:
if point.dayBegin < point.dayEnd:
roseNum += 1
else:
fallNum += 1
sumNum = roseNum + fallNum
#计算增长率
roseRate = float(roseNum) / float(sumNum) * 100
#判断当前价格是否符合购买区间
if not (now.now >= allowLowPrice and now.now <= allowHighPrice):
return
print(dy_pe, sta_pe, pb, err)
#日志
cls.logInfo(
"[buy event] code:%s, name:%s, dyPe:%s, staPe:%s, pb:%s, now:%s" %
(stock_code, stock_name, dy_pe, sta_pe, pb, now.now))
#生成消息内容
msg = NotifyTpl.genHighProbStrategyNotify('关注信号', stock_name,
stock_code, now.now,
len(pointList), dy_pe,
sta_pe, pb,
str(roseRate)[0:4])
defaultSendDDMsg(msg)
def analyseOneStock(cls,
stock,
beforeDayNum,
allowDynicPe=40,
allowStaticPe=40,
allowPb=20,
allowLowPrice=2,
allowHighPrice=40):
gevent.sleep(0.001)
#如果是ST类型的股票，不分析
if 'ST' in stock.name or 'st' in stock.name: return
startDate, endDate = cls.getBeginEndDate(beforeDayNum)
print(startDate, endDate)
sh = StockHistory(code=stock.code,
startDate=startDate,
endDate=endDate)
pointList, err = sh.getPointList()
if err != None:
cls.logError("code:%s, name:%s, get history failed:%s" %
(stock.code, stock.name, err))
return
pointList = pointList[-10:]
for p in pointList:
print(p.time)
if len(pointList) <= 0: return
#判断是否到达最近几天的最低点
now = Point.getNow(stock.code)
line = stock.name + ' now:' + str(now.now)
for p in pointList:
line = line + "|%s %s %s|" % (p.dayBegin, p.dayEnd, p.time)
print(line, beforeDayNum, startDate, endDate, len(pointList), now.now)
isLatestMin = True
for point in pointList:
#按照日期升序2020-07-13 ~ 2020-07-14
#for test
#print('code:', point.code, 'time:', point.time, 'dayBegin:', point.dayBegin, 'dayEnd:', point.dayEnd, 'dayMax:', point.dayMax, 'dayMin:', point.dayMin)
if float(now.now) >= float(point.dayMin):
isLatestMin = False
break
#判断最近几天是否有振荡 (判断是否有涨有跌)
if isLatestMin == False: return
roseNum = 0
fallNum = 0
for point in pointList:
if point.dayBegin < point.dayEnd:
roseNum = roseNum + 1
else:
fallNum = fallNum + 1
sumNum = roseNum + fallNum
roseRate = float(roseNum) / float(sumNum)
if roseRate <= 0.25: return
dyPe, staPe, pb, err = stock.getPePb()
print(dyPe, staPe, pb, err)
cls.logInfo("pb pe :%s,%s,%s,%s" % (dyPe, staPe, pb, err))
if err != None:
cls.logError('get pe pb info failed:' + str(err))
return
if dyPe < 0 or staPe < 0: return
if dyPe > allowDynicPe: return
if staPe > allowStaticPe: return
if pb > allowPb: return
if not (now.now >= allowLowPrice and now.now <= allowHighPrice): return
if not cls.isAllowSend(stock.code): return
try:
cls.logInfo(
"[buy event] code:%s, name:%s, dyPe:%s, staPe:%s, pb:%s, now:%s"
% (stock.code, stock.name, dyPe, staPe, pb, now.now))
msg = NotifyTpl.genHighProbStrategyNotify('关注信号', stock.name,
stock.code, now.now,
len(pointList), dyPe,
staPe, pb,
str(roseRate)[0:4])
notify.asyncSendMsg(msg)
cls.markSend(stock.code)
except Exception as ex:
cls.logError("send msg exception:" + str(ex))
return
cls.logInfo("send once")
